Kragujevac Journal of Mathematics Volume 35 Number 2 (2011), Pages 249–263.

HIGHER-DIMENSIONAL CENTRAL PROJECTION INTO 2-PLANE WITH VISIBILITY AND APPLICATIONS ´ 2 , I. PROK 3 , AND J. SZIRMAI J. KATONA 1 , E. MOLNAR

4

Abstract. Applying d-dimensional projective spherical geometry PSd (R, Vd+1 , V d+1 ), represented by the standard real (d + 1)-vector space and its dual up to positive real factors as ∼ equivalence, the Grassmann algebra of Vd+1 and of V d+1 , respectively, represent the subspace structure of PSd and of Pd . Then the central projection from a (d − 3)-centre to a 2-screen can be discussed in a straightforward way, but interesting visibility problems occur, first in the case of d = 4 as a nice attractive application. So regular 4-solids can be visualized in the Euclidean space E4 and non-Euclidean geometries, e.g. spherical S4 and hyperbolic H4 geometry. In a short report geodesics and geodesic spheres will also be ^ illustrated in H2 ×R and SL 2 R spaces by projective metric geometry.

1. Strategy In the Vorau Conference on Geometry 2007 the first two authors presented the problem ”Visibility of the higher-dimensional central projection onto the projective sphere” appeared later in Acta Mathematica Hungarica [5]. In that paper we gave a general procedure – implemented by the first author to the central projection of the 4-cube directly (without intermediate 3-projection) into the 2-plane of the computer screen – which projects the edge framework of a d-polytope onto a p-plane from a complementary s-centre-figure (p + s + 1 = d, e.g. p = 2, s = 1, d = 4 now). All these were embedded into the machinery of Grassmann (or Clifford) algebras of d+1-vector- and form- spaces, describing the projective metric d-spheres, initiated by Key words and phrases. Projective spherical space, Central projection in higher dimensions, Visibility algorithm, Non-Euclidean geometries by projective metrics. 2010 Mathematics Subject Classification. Primary: 15A75, 51N15, 65D18, 68U05, 68U10. Received: October 30, 2010.

249

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

250

Figure 1. The dashed edges are not visible. Two square 2-faces cover the others in the first picture. 8 3-cubes form the 4-cube (8-cell). In the second picture 5 square 2-faces are visible. We see also 2 squares whose projections each degenerates into a line. the second author. Thus, Euclidean and other (e.g. hyperbolic, spherical and other projective metric Thurston) geometries can also uniformly be discussed [9]. Now we specialize that procedure to the most important orthogonal (or parallel) projections of the regular 4-polytopes elaborated by the third author in his homepage [12] without any visibility, but 4-polytopes nicely move in the screen. Our initiative with visibility makes these demonstrations more attractive, and this seems to be new and timely procedure, not finished yet. The fourth author and his students extended the visualization also to the other ^ Thurston geometries, now H3 , H2 ×R, and SL 2 R will be illustrated here. In Figure 1, as motivation, the four-dimensional cube, with Schl¨afli symbol (4, 3, 3) is pictured in central projection on the two-dimensional computer screen. In Figure 2 the 2-dimensional projective sphere is embedded into the affine space A3 (O, V, V ). This scene can be thought also in the higher-dimensional situation. 2. A unified vector calculus We can describe classical planes uniformly, when we embed these planes into the projective sphere. This method suits for discussing spherical, hyperbolic, Euclidean, Minkowskian and Galilean planes. Projective and affine planes will be special cases, too [9]. Let V3 = V be a vector space over the real numbers R, and V 3 =: V is its dual space or space of its linear forms. Let ai be a basis in V. Then bj is its dual basis in V , iff ai bj = δij (the Kronecker symbol). We consequently denote by

HIGHER-DIMENSIONAL CENTRAL PROJECTION

251

Figure 2. The projective sphere PS2 , the double affine plane A2 and the projective plane P2 can also be visualized by vectors of V3 and of forms of V 3 as follows. 







u0 a0   j 0 1 2  i 0 1 2  x = x ai = (x x x )  a1  ∈ V and u = b uj = (b b b )  u1  ∈ V u2 a2 the corresponding bases and coordinates of vectors and forms, respectively, and apply Einstein sum convention for the same upper and lower indices from 0 to 2. Form u ∈ V takes the value xu = xi ui ∈ R on x ∈ V. The vector class x ∼ cx ⇒ (x) defines a point X = (x) in the projective sphere PS2 with c > 0 and (x) = (−x) in projective plane P2 with c ∈ R \ {0}. In dual terms: u ∼ u · (directed) line u = (u) in PS2 iff

1 c

> 0; a line u = (u) = (−u) iff

1 ⇒ (u) defines a c 1 ∈ R \ {0} for P2 . c 2

The incidence (x) ∈ (u) means xu = 0. Figure 2 shows, how an affine plane A is

252

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

©Π (y) ©© s s © ´ ´ ©© ¢ @ ´ © © ´ ¢ @ ´ ©© ¢ @ ´ © ´ © ¢ @ ´ ©© ¢ ´© @ ´ @ ¢´ ©© (x∞ ) © ¢© s @´ -

(c)

(x)¢¸

@s I @

s ¢

(x0 )´ 3

O

Figure 3. Two points with the same image by vector interpretation

embedded into an affine space A3 (O; V, V ), into the projective plane P2 = A2 ∪ (i), furthermore, into the projective sphere PS2 that can be considered as a ”double affine plane” extended by a ”double ideal line” (i) at infinity. Let the main difference to the usual discussion be emphasized: in PS2 an affine line has two ideal points at infinity, one of them is distinguished, assigned by the viewing direction of the observer. Every point of the affine line is doubled in order to form a circle (see also Figure 2 and Figure 3). As our Figure 4 will indicate in the 4space, visualized in the usual 3-space and in the figure plane (Figure 4). The observer ”stands” in the vanishing hyperplane, looking ahead from C3 (c3 ) in directions pointing to the positive halfspace where the target polytope and then behind (say for simplicity, without loss of generality) the picture plane are placed. We can follow these analogies for the d-dimensional space PSd as well.

3. Geometric description The 1-dimensional case PS1 is illustrated in the vector plane V2 (Figure 3). The centrum, i.e. view-point is described by the vector class (c) = {kc : 0 < k ∈ R} with fixed c ∈ V \ {0}. In the picture plane Π the point (p) = (y) is the projection of an arbitrary point (x). This covers another point (x0 ), in the usual description above, x ∼ γc + y, x0 ∼ γ 0 c + y iff the inequalities γ > γ 0 > 0 hold. The observer (c) looks in the viewing direction (x)∞ as one ideal point of PS1 . The scene in the four-dimensional space is symbolically pictured in Figure 4.

HIGHER-DIMENSIONAL CENTRAL PROJECTION

253

visible region © © © © ©© © © © © (v) ©© ©© © ©© ©© ©

© ©© © ©

©©

edges of polytope P t(x ) t(x3 )

(c∞ 4 )

Π

© ©©

© © © © ©© © © ©© ©© © © © ©© ©© © (t (((

(y) = (p x) = (p x00( ) (((((( ( ( t(( (x∞ ) = (x00∞ ) = (y∞ ) ((((

1 µ ¡ ¡ @ ( ¡¡ t ((( @( ( ( ¡ ( ( 00 t (c ) = (c) ¡ ((((( (x00@ ) @t(x ) ( t ( (x) 4 ¡ (p∞ (c3 ) ¡ t(x2 ) 2 ) t hhh ¡ hhh 6 (p∞ (0 xi ) hhh ¡ 1 ) hhh C¡ t hh * © © hhh hhh t © ¡ ) hhh t(xi© hhh ”scale line” hhh © (p hhh 0) © h ©

h ht

sweeping hyperplane

© © © ©©©© ©©©© ©©©© ©© ©©

(p∞ ) © © ©©

© ©©

©

©©

© © © ©©©© ©©©© ©©©© 0 ©© ©© (i) = (e )

Figure 4. Ordering vertices to vanishing hyperplane (v)

An affin-projective coordinate simplex represents the camera by            

p0 .. . p∞ p cp+1 .. . c∞ d





1 .. .

          ∼ 0   c0   p+1   .   .   .

0

...

pp0 .. .



pp+1 ... 0 .. .

pd0 e0  . ..    .   ..  ∞  . . . pdp    ep ∞  d . . . cp+1    ep+1   ..   .. .  .

. . . ppp pp+1 p . . . cpp+1 cp+1 p+1 .. .. . . p p+1 . . . c d cd ... 



e0  .   ∼: (Cam)   ..  . e∞ d

cdd

e∞ d

       ∼:     

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

254

Figure 5. Projection of segments to extended local visibility Here any point X(x) in the visible region can be expressed as 



x ∼ (1, x1 , . . . , xp , xp+1 , . . . , xd )  e0   ..  ∼  .  e∞ d 



∼ (y 0 , y 1 , . . . , y p , cp+1 , . . . , cd )(Cam)  e0   ..  , so that  .  e∞ d (1, x1 , . . . , xp , xp+1 , . . . , xd )(Cam)−1 ∼ (y 0 , y 1 , . . . , y p , cp+1 , . . . , cd ) ∼ y1 y p cp+1 cd , . . . , , , . . . , ). y0 y0 y0 y0 Relative visibility of X(x) to X 0 (x0 ) with (0 ) coordinates can be decided by Figures (1,

3-5 and by an ordering prescription: a) the images (p x) = (y) and (p x0 ) = (y0 ) are different (both are visible); b) if the images are the same, i.e. y ∼ y0 , namely cp+1 y0

>

0 c(p+1) 00

y

;

y1 y0

=

0

y1 yp 0,..., 0 y y0

=

0

yp 0, y0

then

HIGHER-DIMENSIONAL CENTRAL PROJECTION

c) if the above equalities hold, then

cd y0

<

0

cd y 00

255

(the reverse inequality holds for d =

0

4 = d ). Then X(x) is nearer to the centre figure C than X 0 (x0 ). We see here the critical points of our algorithm: 0, Premliminary triangulation of the polytope which will be projected; 1, Solution of too many linear equation systems (by Gauss-Seidel elimination); 2, Ordering the points to the centre figure C and picture plane Π (camera) by coordinates. 4. On global visibility. Triangulation in the projection procedure. New initiative, illustrated in 4 → 2 projection For global visibility we compute and compare edges and 2-faces of a polyhedron (polytope) P by relative visibility.

Figure 6 Namely, project an edge by its vertices, e.g. (x) in Figure 6 into any 2-face f = (x0 ∧ x1 ∧ x2 ) of P, as above in the former Section 3, in the coordinate simplex determined by f = (x0 ∧ x1 ∧ x2 ) and the centre figure C = (c3 ∧ c∞ 4 ). Then project

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

256

∞ it further into the picture plane Π(p0 ∧ p∞ 1 ∧ p2 ). We use, only indicated here, a

Grassmann algebra machinery with wedge product ∧. Triangulations are assumed also for the 2-surface of P and for the picture plane Π. Let x ∼ y + c with (c) ∈ C, (y) ∈ Π x ∼ z + c0 with (c0 ) ∈ C, (z) ∈ f z ∼ w + c” with (c”) ∈ C, (w) = (y) ∈ Π be assumed, and analogously xi ∼ p xi + ci with (ci ) ∈ C, (p xi ) ∈ Π (i = 0, 1, 2) be assumed for the projection. Furthermore, let positive linear combination in z ∼ z 0 x0 + z 1 x1 + z 2 x2 (i.e. 0 < z 0 , z 1 , z 2 ) and in z ∼ p x0 p x0 + p x1 p x1 + p x2 p x2 + c” = w + c” with (c”) ∈ C, (w) ∈ Π be assumed, by vector independencies. Then 0 < z 0 = px0 , z 1 = px1 , z 2 = px2 follow or the image of f degenerates, especially it is on the contour (i.e. x0 ∧x1 ∧x2 ∧c3 ∧c∞ 4 = 0). We can conclude the following Proposition 4.1. The vertex X(x) of P above is over the 2-face f = (x0 ∧ x1 ∧ x2 ) 0

0

of P related to camera C ∧ Π. iff above 0 < z 0 , z 1 , z 2 hold, and for c0 ∼ c3 c3 + c4 c∞ 4 0

0

0

in x ∼ z + c0 c3 > 0 hold or if c3 = 0 then c4 < 0. If P is a convex polytope then the visibility is more simple: It can start with the picture contour, as convex hull of the vertex images and with the top vertex of P, by the ordering to centre figure C. Then visible edges, supported to the picture contour, can be determined. ¨ fli diagram and matrix for 3-cube, 4-cube and 5. Coxeter-Schla regular d-polytopes We illustrate the 3-cube in Figure 7 by its characteristic simplex: vertex A0 , edge centre A1 , face centre A2 , body centre A3 , and the 4 side faces, e.g. b0 = (A1 A2 A3 ). That means e.g. 1 π ] = − = b12 3 2 ij in the symmetric matrix (b ) (i, j = 0, 1, 2, 3). cos [π − (b1 b2 )] = cos [π −

HIGHER-DIMENSIONAL CENTRAL PROJECTION

´

´

´

´

´

´

´

´

´

´

´

´

t 4

´

´

    

A t3 ½ ½¢ ½¢ b1 ½ ¢ ´ ´ ½ ´ ´ ¢ b0 ½ ´ ´ ½ »tA2 ¢»» ´ ´ 2 ½ b» »¢ ´´ ´ ´ » » ½ ´ ´ ´ » t» t¢´ ´ ½ ´» b3

β 01

0 

A0

257

t 3

1

t 4

2



− 22 1 − 21 0

1√ − 22 0 0

0 − 12 1√ − 22

t

β 23 3

0 0√ − 22 1

    = (bij )  

A1

Figure 7. Cube in E3 and symbols for it Analogous cases are collected in Tables 1-2 for the 4-cube and the regular d-polytope, respectively [4], [12]. Table 1

t

0

4

3

t

β 01

t

1 

   ij (b ) =    

ij B44 : ↑ −1 (bij ) ↓ B4j

3

2

4

t

t

β 34 4

3



1√ − 22 0 0 0

− 22 1 − 21 0 0



√ 3 2 8 3 4

1 2

  ∗    ∗    ∗ 1 8

∗ ∗ √

2 8

0 − 12 1 − 12 0

√ 2 4 1 2 1 2



√ 2 8

0 0 − 12 1√ − 22

√ 2 8 1 4 1 4 1 √4 2 8

1 √8 2 √8 2 √8 2 8 1 8

0 0 0√ − 22 1

        

       

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

258

o

n

Table 2

n01 , n12 , . . . , nd−2,d−1 ; β d−1,d ⇐⇒ n01

t

β 01

0      ij b =    

where β ij =

t

1

n12 β 12

t

2

d-2

1 − cos β 01 0 01 − cos β 1 − cos β 12 0 − cos β 12 1 .. .. .. . . . 0 0 0 0 0 0 π nij

nd−2,d−1

t

... ... ... .. .

0 0 0 .. .

... 1 . . . − cos β d−1,d

t

d−1,d d-1 β

0 0 0 .. .

t

d



        − cos β d−1,d 

1

for i, j = 0, 1, . . . , d; i 6= j, (i, j) 6= (d − 1, d); 1 ≤ nij ∈ N natural

numbers. To a regular d-polytope P we introduce a characteristic simplex for P by the following general Definition 5.1. We introduce an angle metric for our simplex S just by the starting bilinear form, considered as scalar product hbi , bj i = bij = cos (π − β ij ), i, j = 0, 1, . . . , d. Think of bi as the inward ”normal” unit vector to the facet bi and so bj to bj as well. We have a well known Theorem 5.1. The scalar product by bij above defines a spherical, hyperbolic or Euclidean angle metric of hyperplanes for the projective sphere PSd by −bij cosβ ij = √ or, in general, bii bjj − hu; vi −ui bij vj cosω = q =q hu; ui hv; vi (ur brs us )(vr brs vs ) for generalized dihedral angle ω of hyperplanes (u) and (v); according to the signature of bij : h+, +, . . . , +; +i for spherical d-space Sd , h+, +, . . . , +; −i for hyperbolic d-space Hd , h+, +, . . . , +; 0i for Euclidean d-space Ed .

HIGHER-DIMENSIONAL CENTRAL PROJECTION

259

By the inverse matrix of (bij in case Sd and Hd , i.e. by (bij )−1 = aij , we can define the distance metric of simplex A0 A1 . . . Ad , and in general, a coordinate presentation. Ed needs special discussion (in Table 1) by the minor subdeterminant matrix (Bij ) of (bij ). For details see [4], [8]. 6. Some pictures for non-Euclidean 3-spaces We refer only to the possibilities of non-Euclidean 3-geometries, see our references for details. 1. Figures 8, 9 and 10 indicate a series of tilings on the base of group Γp = {r, z − r2 = z 2p = rzrz 2 rz −2 rz −1 = 1}. depending on the natural parameter p ≥ 3. For p = 3 the tiling lies in E3 generated by the usual cube tiling. For p ≥ 4 the tiling is hyperbolic in H3 . The absolute figure is also shown by its shadow [13].

Figure 8. Euclidean case: p = 3 with a distinguished coordinate simplex 2. The points of H2 ×R space, in the projective space P3 forming an open cone solid, are the following: o

n

H2 ×R := X(x = xi ei ) ∈ P3 : −(x1 )2 + (x2 )2 + (x3 )2 < 0 < x0 , x1 . On this base, the equation of geodesic lines in H2×R can be derived in usual Euclidean model coordinates x =

x1 , x0

y=

x2 , x0

z=

x3 x0

as follows

x(τ ) = eτ sin v cosh (τ cos v), y(τ ) = eτ sin v sinh (τ cos v) cos u, z(τ ) = eτ sin v sinh (τ cos v) sin u, π π −π < u ≤ π, − ≤ v ≤ . 2 2

260

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

Figure 9. The hyperbolic case: p = 4. The absolute figure of H3 is indicated by its shadow

Figure 10. The former fundamental domain is shown in the hyperbolic case: p = 9 to the coodinate simplex. The absolute figure of H3 is indicated by its shadow Here τ means the arc-length parameter, u and v are the geographic longitude and altitude, respectively, fixing the starting direction with unit velocity. If we fix τ = R in the above equations and vary u and v then we get the sphere of radius R with centre (x0 , y0 , z0 ) = (1, 0, 0). See Figure 11 where the zero level H20 is also indicated, as one part of the two-sheet hyperboloid. The half cone does not appear. Some special problems are discussed in [10], [11] and [14].

HIGHER-DIMENSIONAL CENTRAL PROJECTION

261

Figure 11. Geodesic ball in H2 ×R ^ 3. Now we deal with SL 2 R geometry [9], [10], [11]. In classical sense the 2 × 2 matrices, say now Ã

d b c a

!

with unit determinant ad − bc = 1

have 3 parameters for a 3-geometry. To have a more geometrical interpretation in the projective 3-sphere PS3 , we introduce new coordinates (x0 , x1 , x2 , x3 ), say by a := x0 + x3 , b := x1 + x2 , c := −x1 + x2 , d := x0 − x3 , with positive equivalence as projective freedom. Then 0 > bc − ad = −x0 x0 − x1 x1 + x2 x2 + x3 x3 describe the same 3-dimensional point set, namely the interior of the above unparted (one-sheet) hyperboloid (Figure 12). Indeed, for x0 6= 0, x = ^ get the Euclidean model of SL 2R

x1 , x0

y=

x2 , x0

We introduce also a so-called hyperboloid parametrization as follows X(x0 = cosh r cos (φ), x1 = cosh r sin (φ), x2 = sinh r cos (θ − φ), x3 = sinh r sin (θ − φ), h

i

(ds)2 = (dr)2 + (dθ)2 cosh2 (r) sinh2 (r) + dφ + (dθ) sinh2 (r) .

z=

x3 x0

we

262

´ J. KATONA, E. MOLNAR, I. PROK, AND J. SZIRMAI

^ Figure 12. The unparted hyperboloid model of SL 2 R space of skew line fibres growing in points of the hyperbolic base plane. The gumfibre model is due to Hans Havlicek and Rolf Riesinger, used also by Hellmuth Stachel with other respects From this we get the differential equation of geodesics: i 1h ˙ r¨ = sinh (2r)θ˙φ˙ + sinh (4r) − sinh (2r) θ˙θ, 2 i −2r h θ¨ = 3(cosh (2r) − 1)θ˙ + 2φ˙ , sinh (2r) h i φ¨ = 2r˙ tanh (r) 2 sinh2 (r)θ˙ + φ˙ , with appropriate initial values for starting points and unit velocity (see [3], [11]).

Figure 13. Geodesic half sphere of radius 0.5 with ”cone” and geo^ desic half sphere of radius 1.5 in SL 2 R space

HIGHER-DIMENSIONAL CENTRAL PROJECTION

263

References ´ [1] L. Acs, Fundamental D-V cells for E 4 space groups on the 2D-screen, 6th ICAI, Eger, Hungary (2004), Vol. 1, 275-282. [2] H. S. M. Coxeter, The real projective plane, 2nd Edition, Cambridge University Press, London, (1961). ^R) [3] B. Divjak, Z. Erjavec, B. Szabolcs,B. Szil´agyi, Geodesics and geodesic spheres in SL(2, geometry, Math. Commun., 14 (2009) No. 2, 413–424. [4] J. Katona, E. Moln´ar, I. Prok, Visibility of the 4-dimensional regular solids, moving on the computer screen, Proc. 13th ICGG, Dresden, Germany, (2008). [5] J. Katona, E. Moln´ar, Visibility of the higher-dimensional central projection into the projective sphere, Acta Mathematica Hungarica 123/3, (2009), 291-309. [6] P. Ledneczki, E. Moln´ar, Projective geometry in engineering, Periodica Polytechnica Ser. Mech. Eng. Vol. 39. No. 1., (1995), 43-60. [7] E. Malkowsky, V. Veliˇckovi´c, Visualization and animation in differential geometry, Proc. Workshop Contemporary Geometry and Related Topics, Belgrade, (2002), Ed.:Bokan-Djori´cFomenko-Raki´c-Wess, Word Scientific, New Jersey-London-etc. (2004), 301-333. [8] E. Moln´ar, Polyhedron complexes with simply transitive group actions and their realizations, Acta Mathematica Hungarica 59/1-2, (1992), 175-216. [9] E. Moln´ar, The projective interpretation of the eight 3-dimensional homogeneous geometries, Beitr¨age Alg. Geom. (Contr. Alg. Geom.) 38, (1997), 261-288. [10] E. Moln´ar, B. Szil´agyi, Translation curves and their spheres in homogeneous geometries, Publicationes Math. Debrecen 78/2 (2011), 327 - 346. [11] E. Moln´ar, J. Szirmai, Symmetries in the 8 homogeneous 3-geometries, Symmetry: Culture and Science, Vol. 21 Numbers 1-3, (2010), 87-117. [12] I. Prok, http://www.math.bme.hu/∼prok ¨ [13] J. Szirmai, Uber eine unendliche Serie der Polyederpflasterungen von fl¨ achentransitiven Bewegungsgruppen, Acta Mathematica Hungarica, 73 (3), (1996), 247-261. [14] J. Szirmai, Geodesic ball packings in H2 × R space for generalized Coxeter space groups, To appear in Mathematical Communications, (2011). [15] J. R. Weeks, Real-time animation in hyperbolic, spherical and product geometries, NonEuclidean Geometries, J´anos Bolyai Memorial Volume, Ed.: A. Pr´ekopa and E. Moln´ar, Springer, (2006), 287-305. 1

´ s Faculty of Architecture, Ybl Miklo ´ n University, Szent Istva ¨ ko ¨ ly u. 74. H-1146 Budapest, Tho Hungary E-mail address: [email protected]

2,3,4 Department of Geometry, Budapest University of Technology, ´ zsef u. 1. H. II. 22. H-1111 Budapest, Egry Jo Hungary E-mail address: [email protected] E-mail address: [email protected] E-mail address: [email protected]

HIGHER-DIMENSIONAL CENTRAL PROJECTION INTO 2-PLANE ...

〈bi, bj〉 = bij = cos (π − βij), i,j = 0,1,...,d. Think of bi as the inward ”normal” unit vector to the facet bi and so bj to bj as well. .... 1 Ybl Miklós Faculty of Architecture,.

2MB Sizes 1 Downloads 268 Views

Recommend Documents

HIGHER-DIMENSIONAL CENTRAL PROJECTION INTO 2-PLANE ...
〈bi, bj〉 = bij = cos (π − βij), i,j = 0,1,...,d. Think of bi as the inward ”normal” unit vector to the facet bi and so bj to bj as well. .... 1 Ybl Miklós Faculty of Architecture,.

Higher-dimensional central projection into 2-plane with visibility and ...
Then the central projection from a (d − 3)-centre to a 2-screen can be discussed .... As our Figure 4 will indicate in the 4- space ..... have 3 parameters for a 3-geometry. ... fibre model is due to Hans Havlicek and Rolf Riesinger, used also by.

Projection Screen.pdf
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. Projection ...

Complementary Projection Hashing - CiteSeerX
Given a data set X ∈ Rd×n containing n d-dimensional points ..... data set is publicly available 3 and has been used in [7, 25, 15]. ..... ing for large scale search.

CCDF Sustainability Projection -
The Department requests $1,947,000 total funds/federal funds (CCDF), in FY 2016-17 and beyond ... Additionally, last fiscal year (SFY 2015-16), the allocation to counties to provide CCCAP services was fully spent ..... of the top priorities for the O

Presupposition Projection as Anaphora Resolution ...
us call this the inference view on presupposition. According to this ...... (30) If someone at the conference solved the problem, it was Julius who solved it. I argued .... In the pictorial representation (44) I use dotted boxes as a mnemonic device.

MEKI EZ PROJECTION TROLLEY.pdf
There was a problem loading more pages. Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the ...

orthographic projection drawing pdf
Sign in. Loading… Whoops! There was a problem loading more pages. Retrying... Whoops! There was a problem previewing this document. Retrying.

Feature Adaptation Using Projection of Gaussian Posteriors
Section 4.2 describes the databases and the experimental ... presents our results on this database. ... We use the limited memory BFGS algorithm [7] with the.

Isometric Projection Tutorial 1.pdf
Download. Connect more apps... Try one of the apps below to open or edit this item. Isometric Projection Tutorial 1.pdf. Isometric Projection Tutorial 1.pdf. Open.

stereographic projection techniques for geologists and civil ...
stereographic projection techniques for geologists and civil engineers pdf. stereographic projection techniques for geologists and civil engineers pdf. Open.

The Projection Dynamic and the Replicator Dynamic
Feb 1, 2008 - and the Replicator Dynamic. ∗. William H. Sandholm†, Emin Dokumacı‡, and Ratul Lahkar§ ...... f ◦H−1. Since X is a portion of a sphere centered at the origin, the tangent space of X at x is the subspace TX(x) = {z ∈ Rn : x

Differentiating Self-Projection from Simulation during Mentalizing ...
Mar 25, 2015 - Creative Commons Attribution License, which permits unrestricted ... title: Data from: Differentiating self-projection from simulation .... sponse registration were controlled by Presentation (Neurobehavioral Systems Inc., Albany,.

Pinhole SPECT Imaging: Compact Projection ...
animal acquisitions which attest to the practical interest in the method for this purpose. Section IV is a discussion about the robustness and the limitations of the ...

Isometric Projection Tutorial 2.pdf
Download. Connect more apps... Try one of the apps below to open or edit this item. Isometric Projection Tutorial 2.pdf. Isometric Projection Tutorial 2.pdf. Open.

Bipartite network projection and personal ...
Oct 25, 2007 - of the network one has to use the bipartite graph to quantify the weights ... tion overload: They face too much data and sources able to find out those .... entist has already published many papers i.e., he has large degree, vice ...

Information Projection: Model and Applications.
history of the companies and traded assets that yielded returns in proportion to the ..... %u!i& G R be the pdf over the real line that person kqs estimate of the expected ..... making the phone call reduces the information gap between the ex&ante ..

Projection Functions for Eye Detection
Building automatic face recognition system has been a hot topic of computer ..... About the Author – Xin Geng received his B.Sc. degree in Computer Science ...

Information Projection: Model and Applications.
the financial problems of their audit clients. ... Kruger et al (2005) found that when people communicate through email, they overestimate how well their intent is ...

Frank Kepple Practical Guide To Astral Projection And Lucid ...
Frank Kepple Practical Guide To Astral Projection An ... tion (Robert Monroe's Technique, Phasing Method).PDF. Frank Kepple Practical Guide To Astral ...