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Ähnlich wie Ar techniques@sergi grau
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Ar techniques@sergi grau
- 1. Augmented reality techniques Sergi Grau Carrión http://sergigrau.cat @sergi_grau
- 3. Adapted milgram's VR-‐AR continuum http://en.wikipedia.org/wiki/File:Adapted_milgrams_VR-‐AR_continuum.png
- 4. Virtual reality -‐ Immersive http://www.youtube.com/watch?v=yf0sllpZx3w
- 5. Virtual reality -‐ Immersive http://www.youtube.com/watch?v=WYG7xGFByJ8
- 6. Virtual reality -‐ Semi immersive http://www.youtube.com/watch?v=7MVyT1lgGGQ
- 7. Adapted milgram's VR-‐AR continuum http://en.wikipedia.org/wiki/File:Adapted_milgrams_VR-‐AR_continuum.png
- 8. Augmented reality Started in 1957 (Roosevelt home)
- 18. Adapted milgram's VR-‐AR continuum http://en.wikipedia.org/wiki/File:Adapted_milgrams_VR-‐AR_continuum.png
- 19. TUI
- 23. Augmented Reality Capture real world Computer Vision Capture virtual world Computer Graphics http://wearables.unisa.edu.au
- 26. Ingredients for successful AR
- 30. Environment analysis Real-‐time 3D tracking of user viewpoint w.r.t. World • • • • • Geolocalization Electro-‐magnetic Acoustic Inertial Vision-‐based (active or passive)
- 34. Color tracking
- 42. Head tracking
- 44. Face tracking
- 45. Face tracking
- 47. Image-‐based 3D reconstruction Computer vision is good at location features: Points Regions Textures Contours ...
- 49. Geometry 3D reconstruction: what is where? Semantic: augmentation of context Object recognition Interpretation of content
- 50. 3D reconstruction of regions Based on planar equations. – Hypothesis: world is piece-‐wise planar 3D registration by Iterative Closest Point (ICP)
- 53. ARToolkit
- 54. ARToolkit Fast and cheap 6D marker tracking Easy calibration routine: – Measure camera properties: • Center point of the camera image. • The lens distortion. • Camera focal length. ! ! ! Virtual objects appear only when complete markers are visible.
- 55. Image processing
- 56. Image processing
- 57. Image processing
- 58. Image processing
- 59. Image processing
- 60. Pattern matching
- 63. Depth cameras Infer depth for ALL pixels
- 64. Depth cameras Zcam (3DV Systems) 2007 – 1.3Megapixel 60fps
- 65. ZCam
- 69. Kinect
- 70. Kinect
- 71. Kinect
- 73. Motion capture
- 77. Depth Cameras Solves the “where” but not the “what”: objects must still be identified (segmented)
- 80. Realistic augmentation ! 2 components: Geometric coherency Lighting coherency
- 81. CG Blending
- 82. Approximate real world to simulate interaction Virtual in front of real Virtual behind real
- 91. Light coherency
- 93. Light probe Aim: Capture light coming from light sources in real world
- 94. Light probe
- 99. Camera effects
- 113. AR Hardware
- 115. Lumus DK-‐40 AR Glasses Oculus Rift ‘Crystal Cove’ Heapsylon Sensoria Fitness socks LG Lifeband Touch Edison-‐ Intel‘s Development Board Sony’s ‘wearable HDTV’ Sony SmartBand Pebble
- 116. Google Glasses
- 119. Meta Pro Glasses
- 120. Lumus HUD Display
- 121. Telepathy One
- 122. NTT DOCOMO
- 124. vrAse
- 126. Reevu Intelligent Helmet’s heads up display
- 127. Intel RealSense 3D camera Creative Senz3D
- 128. SeeSpace InAir
- 141. Augmented reality techniques Sergi Grau Carrión http://sergigrau.cat @sergi_grau