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Math Review Week 1, Wed Jan 6

http://www.ugrad.cs.ubc.ca/~cs314/Vjan2010. Math Review Week 1, Wed Jan 6. News. no class this Friday (Jan 8)! UBC CS Dept news. Department of Computer Science Undergraduate Events. Events this week How to Prepare for the Tech Career Fair Date: Wed. Jan 6 Time: 5 – 6:30 pm

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Math Review Week 1, Wed Jan 6

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  1. http://www.ugrad.cs.ubc.ca/~cs314/Vjan2010 Math ReviewWeek 1, Wed Jan 6

  2. News • no class this Friday (Jan 8)! • UBC CS Dept news

  3. Department of Computer ScienceUndergraduate Events Events this week How to Prepare for the Tech Career Fair Date: Wed. Jan 6 Time: 5 – 6:30 pm Location: DMP 110 Resume Writing Workshop (for non-coop students) Date: Thurs. Jan 7 Time: 12:30 – 2 pm Location: DMP 201 CSSS Movie Night Date: Thurs. Jan 7 Time: 6 – 10 pm Location: DMP 310 Movies: “Up” & “The Hangover” (Free Popcorn & Pop) Drop-In Resume Edition Session Date: Mon. Jan 11 Time: 11 am – 2 pm Location: Rm 255, ICICS/CS Bldg Industry Panel Speakers: Managers from Google, IBM, Microsoft, TELUS, etc. Date: Tues. Jan 12 Time: Panel: 5:15 – 6:15 pm; Networking: 6:15 – 7:15 pm Location: Panel: DMP 110; Networking: X-wing Undergrad Lounge Tech Career Fair Date: Wed. Jan 13 Time: 10 am – 4 pm Location: SUB Ballroom

  4. Review: Computer Graphics Defined • CG uses • movies, games, art/design, ads, VR, visualization • CG state of the art • photorealism achievable (in some cases) http://www.alias.com/eng/etc/fakeorfoto/quiz.html

  5. Review: Rendering Capabilities www.siggraph.org/education/materials/HyperGraph/shutbug.htm

  6. Today’s Readings • FCG Chapter 2: Miscellaneous Math • except 2.7 (2.11 in 2nd edition) • FCG Chapter 5: Linear Algebra • except 5.4 (not in 2nd edition)

  7. Notation: Scalars, Vectors, Matrices • scalar • (lower case, italic) • vector • (lower case, bold) • matrix • (upper case, bold)

  8. Vectors • arrow: length and direction • oriented segment in nD space • offset / displacement • location if given origin

  9. Column vs. Row Vectors • row vectors • column vectors • switch back and forth with transpose

  10. Vector-Vector Addition • add: vector + vector = vector • parallelogram rule • tail to head, complete the triangle geometric algebraic examples:

  11. Vector-Vector Subtraction • subtract: vector - vector = vector

  12. Vector-Vector Subtraction • subtract: vector - vector = vector argument reversal

  13. Scalar-Vector Multiplication • multiply: scalar * vector = vector • vector is scaled

  14. Vector-Vector Multiplication • multiply: vector * vector = scalar • dot product, aka inner product

  15. Vector-Vector Multiplication • multiply: vector * vector = scalar • dot product, aka inner product

  16. Vector-Vector Multiplication • multiply: vector * vector = scalar • dot product, aka inner product • geometric interpretation • lengths, angles • can find angle between two vectors

  17. Dot Product Geometry • can find length of projection of u onto v • as lines become perpendicular,

  18. Dot Product Example

  19. Vector-Vector Multiplication, The Sequel • multiply: vector * vector = vector • cross product • algebraic

  20. Vector-Vector Multiplication, The Sequel • multiply: vector * vector = vector • cross product • algebraic

  21. Vector-Vector Multiplication, The Sequel • multiply: vector * vector = vector • cross product • algebraic 3 1 2 blah blah

  22. Vector-Vector Multiplication, The Sequel • multiply: vector * vector = vector • cross product • algebraic • geometric • parallelogramarea • perpendicularto parallelogram

  23. RHS vs. LHS Coordinate Systems • right-handed coordinate system • left-handed coordinate system convention right hand rule: index finger x, second finger y; right thumb points up left hand rule: index finger x, second finger y; left thumb points down

  24. Basis Vectors • take any two vectors that are linearly independent (nonzero and nonparallel) • can use linear combination of these to define any other vector:

  25. Orthonormal Basis Vectors • if basis vectors are orthonormal (orthogonal (mutually perpendicular) and unit length) • we have Cartesian coordinate system • familiar Pythagorean definition of distance orthonormal algebraic properties

  26. Basis Vectors and Origins • coordinate system: just basis vectors • can only specify offset: vectors • coordinate frame: basis vectors and origin • can specify location as well as offset: points

  27. Working with Frames F1 F1

  28. Working with Frames F1 F1 p = (3,-1)

  29. Working with Frames F1 F1 F1 p = (3,-1)

  30. F2 Working with Frames F1 F1 p = (3,-1) F2

  31. F2 Working with Frames F1 F1 p = (3,-1) F2 p = (-1.5,2)

  32. F2 Working with Frames F2 F1 F1 p = (3,-1) F2 p = (-1.5,2)

  33. F2 F3 Working with Frames F1 F1 p = (3,-1) F2 p = (-1.5,2) F3

  34. F2 F3 Working with Frames F1 F1 p = (3,-1) F2 p = (-1.5,2) F3 p = (1,2)

  35. F1 F2 F3 Working with Frames F3 F1 p = (3,-1) F2 p = (-1.5,2) F3 p = (1,2)

  36. Named Coordinate Frames • origin and basis vectors • pick canonical frame of reference • then don’t have to store origin, basis vectors • just • convention: Cartesian orthonormal one on previous slide • handy to specify others as needed • airplane nose, looking over your shoulder, ... • really common ones given names in CG • object, world, camera, screen, ...

  37. Lines • slope-intercept form • y = mx + b • implicit form • y – mx – b = 0 • Ax + By + C = 0 • f(x,y) = 0

  38. Implicit Functions • find where function is 0 • plug in (x,y), check if • 0: on line • < 0: inside • > 0: outside • analogy: terrain • sea level: f=0 • altitude: function value • topo map: equal-valuecontours (level sets)

  39. Implicit Circles • circle is points (x,y) where f(x,y) = 0 • points p on circle have property that vector from c to p dotted with itself has value r2 • points points p on the circle have property that squared distance from c to p is r2 • points p on circle are those a distance r from center point c

  40. Parametric Curves • parameter: index that changes continuously • (x,y): point on curve • t: parameter • vector form

  41. 2D Parametric Lines • start at point p0,go towards p1,according to parameter t • p(0) = p0, p(1) = p1

  42. Linear Interpolation • parametric line is example of general concept • interpolation • p goes through a at t = 0 • p goes through b at t = 1 • linear • weights t, (1-t) are linear polynomials in t

  43. Matrix-Matrix Addition • add: matrix + matrix = matrix • example

  44. Scalar-Matrix Multiplication • multiply: scalar * matrix = matrix • example

  45. Matrix-Matrix Multiplication • can only multiply (n,k) by (k,m):number of left cols = number of right rows • legal • undefined

  46. Matrix-Matrix Multiplication • row by column

  47. Matrix-Matrix Multiplication • row by column

  48. Matrix-Matrix Multiplication • row by column

  49. Matrix-Matrix Multiplication • row by column

  50. Matrix-Matrix Multiplication • row by column • noncommutative: AB != BA

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