Estimating Human Motion: Past, Present, and Future

Estimating Human Motion: Past, Present, and Future

Andreas Geiger via YouTube Direct link

Graphical models

20 of 49

20 of 49

Graphical models

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Estimating Human Motion: Past, Present, and Future

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 What Im interested in
  3. 3 Goals
  4. 4 Why is it hard
  5. 5 History of the field
  6. 6 Posttalk
  7. 7 Relaxation Labelling
  8. 8 Computer Vision
  9. 9 Kinematic Tree
  10. 10 The Lost Decade
  11. 11 The Basic Paradigm
  12. 12 Sandy Pentland
  13. 13 Dario Gavrila
  14. 14 The Human Body
  15. 15 Stochastic Search
  16. 16 Simulated annealing
  17. 17 Particle filtering
  18. 18 Priors
  19. 19 Priors are a crutch
  20. 20 Graphical models
  21. 21 Early graphical models
  22. 22 Higher dimensional models
  23. 23 The basic idea
  24. 24 The problem
  25. 25 Cyberware scanner
  26. 26 Why are bodies hard
  27. 27 The Cesar dataset
  28. 28 The Skate Model
  29. 29 The First Paper
  30. 30 Virtual Humans
  31. 31 Scanning the Human Body
  32. 32 Collecting Existing Data
  33. 33 Professional Models
  34. 34 Mesh
  35. 35 Shape Identity
  36. 36 Scanning
  37. 37 Body Shape
  38. 38 Poses
  39. 39 Template Mesh
  40. 40 Shape Blend
  41. 41 Pose
  42. 42 Linear Blend Skinning
  43. 43 Pose Blend Shapes
  44. 44 Deformation
  45. 45 RGBD
  46. 46 Track Infants
  47. 47 Interpersonal Interaction
  48. 48 Simple Body Model
  49. 49 Simple X

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.