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Transformations II Week 2, Fri Jan 14

http://www.ugrad.cs.ubc.ca/~cs314/Vjan2005. Transformations II Week 2, Fri Jan 14. Reading. same as last time, through Monday. News. corrected slides posted for Week 1 Fri Week 2 Wed reminder: extra handouts in CICSR 011 reminder: my office hours are Wed 3:45-4:45 in CICSR 011.

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Transformations II Week 2, Fri Jan 14

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  1. http://www.ugrad.cs.ubc.ca/~cs314/Vjan2005 Transformations IIWeek 2, Fri Jan 14

  2. Reading • same as last time, through Monday

  3. News • corrected slides posted for • Week 1 Fri • Week 2 Wed • reminder: extra handouts in CICSR 011 • reminder: my office hours are Wed 3:45-4:45 in CICSR 011

  4. Review: Homogeneous Coordinates • Cartesian coordinates y x

  5. Review: Homogeneous Coordinates • Homogeneous coordinates w w=1 y x

  6. translate(a,b,c) scale(a,b,c) Review: Transformations

  7. Shear • shear along x axis • push points to right in proportion to height y y x x

  8. Shear • shear along x axis • push points to right in proportion to height • shear in y? 3D shear in x? y y x x

  9. Shear • shear in x • shear in y • shear in z

  10. Reflection • reflect across x axis • mirror x x

  11. Reflection • reflect across x axis • mirror • reflect about Y axis? x x

  12. Undoing Transformations: Inverses (R is orthogonal)

  13. Composing Transformations • translation so translations add

  14. Composing Transformations • scaling • rotation so scales multiply so rotations add

  15. Composing Transformations Ta Tb = Tb Ta, but Ra Rb != Rb Ra and Ta Rb != Rb Ta

  16. Composing Transformations suppose we want Fh FW

  17. Composing Transformations Rotate(z,-90) suppose we want Fh FW FW Fh

  18. Composing Transformations Translate(2,3,0) Rotate(z,-90) suppose we want Fh Fh FW FW FW Fh

  19. Composing Transformations Translate(2,3,0) Rotate(z,-90) suppose we want Fh Fh FW FW FW Fh

  20. Composing Transformations • which direction to read? • right to left • interpret operations wrt fixed coordinates • moving object • left to right • interpret operations wrt local coordinates • changing coordinate system

  21. Composing Transformations • which direction to read? • right to left • interpret operations wrt fixed coordinates • moving object • left to right • interpret operations wrt local coordinates • changing coordinate system OpenGL pipeline ordering!

  22. Composing Transformations • which direction to read? • right to left • interpret operations wrt fixed coordinates • moving object • left to right • interpret operations wrt local coordinates • changing coordinate system • OpenGL updates current matrix with postmultiply • glTranslatef(2,3,0); • glRotatef(-90,0,0,1); • glVertexf(1,1,1); • specify vector last, in final coordinate system • first matrix to affect it is specified second-to-last OpenGL pipeline ordering!

  23. Composing Transformations • correctly ordering your matrices • multiply matrices together • result is one matrix • multiply vertices by this matrix • all vertices easily transformed with one matrix multiply

  24. Interpreting Transformations moving object • same relative position between object and basis vectors translate by (-1,0) (1,1) (2,1) intuitive? changing coordinate system (1,1) OpenGL

  25. Rotation About a Point: Moving Object rotate about origin translate p back translate p to origin rotate about p by : FW

  26. Rotation: Changing Coordinate Systems • same example: rotation around arbitrary center

  27. Rotation: Changing Coordinate Systems • rotation around arbitrary center • step 1: translate coordinate system to rotation center

  28. Rotation: Changing Coordinate Systems • rotation around arbitrary center • step 2: perform rotation

  29. Rotation: Changing Coordinate Systems • rotation around arbitrary center • step 3: back to original coordinate system

  30. General Transform Composition • transformation of geometry into coordinate system where operation becomes simpler • perform operation • transform geometry back to original coordinate system

  31. Rotation About an Arbitrary Axis • axis defined by two points • translate point to the origin • rotate to align axis with z-axis (or x or y) • perform rotation • undo aligning rotations • undo translation

  32. Arbitrary Rotation • problem: • given two orthonormal coordinate systems XYZ and UVW • find transformation from one to the other • answer: • transformation matrix R whose columns are U,V,W: W Y Z V X U

  33. Arbitrary Rotation • why? • similarly R(Y) = V & R(Z) = W

  34. Transforming Geometric Objects • lines, polygons made up of vertices • just transform the vertices, interpolate between • does this work for everything? no!

  35. Computing Normals • polygon: • assume vertices ordered CCW when viewed from visible side of polygon • normal for a vertex • used for lighting • supplied by model (i.e., sphere),or computed from neighboring polygons

  36. Transforming Normals • what is a normal? • a direction • homogeneous coordinates: w=0 means direction • often normalized to unit length • vs. points/vectors that are object vertex locations • what are normals for? • specify orientation of polygonal face • used when computing lighting • so if points transformed by matrix M, can we just transform normal vector by M too?

  37. Transforming Normals • translations OK: w=0 means unaffected • rotations OK • uniform scaling OK • these all maintain direction

  38. Transforming Normals • nonuniform scaling does not work • x-y=0 plane • line x=y • normal: [1,-1,0] • direction of line x=-y • (ignore normalization for now)

  39. Transforming Normals • apply nonuniform scale: stretch along x by 2 • new plane x = 2y • transformed normal: [2,-1,0] • normal is direction of line x = -2y or x+2y=0 • not perpendicular to plane! • should be direction of 2x = -y

  40. Planes and Normals • plane is all points perpendicular to normal • (with dot product) • (matrix multiply requires transpose) • explicit form: plane =

  41. Finding Correct Normal Transform • transform a plane given M, what should Q be? stay perpendicular substitute from above thus the normal to any surface can be transformed by the inverse transpose of the modelling transformation

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