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Ar techniques@sergi grau
The document discusses augmented reality techniques including virtual reality, augmented reality, tangible user interfaces, and diminished reality. It covers topics such as tracking technologies using computer vision algorithms, depth cameras, optical flow, and markers. Examples of augmented reality hardware like Google Glass, Oculus Rift, and Microsoft Kinect are also mentioned. The document emphasizes the importance of realistic augmentation through geometric coherence and light coherence between virtual and real objects. Interaction and collaboration techniques using augmented reality are briefly discussed.
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)
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- 18. Adapted milgram's VR-‐AR continuum http://en.wikipedia.org/wiki/File:Adapted_milgrams_VR-‐AR_continuum.png
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- 23. Augmented Reality Capture real world Computer Vision Capture virtual world Computer Graphics http://wearables.unisa.edu.au
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- 30. Environment analysis Real-‐time 3D tracking of user viewpoint w.r.t. World • • • • • Geolocalization Electro-‐magnetic Acoustic Inertial Vision-‐based (active or passive)
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- 47. Image-‐based 3D reconstruction Computer vision is good at location features: Points Regions Textures Contours ...
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- 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)
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- 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.
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- 63. Depth cameras Infer depth for ALL pixels
- 64. Depth cameras Zcam (3DV Systems) 2007 – 1.3Megapixel 60fps
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- 77. Depth Cameras Solves the “where” but not the “what”: objects must still be identified (segmented)
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- 80. Realistic augmentation ! 2 components: Geometric coherency Lighting coherency
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- 82. Approximate real world to simulate interaction Virtual in front of real Virtual behind real
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- 93. Light probe Aim: Capture light coming from light sources in real world
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- 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
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- 126. Reevu Intelligent Helmet’s heads up display
- 127. Intel RealSense 3D camera Creative Senz3D
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- 141. Augmented reality techniques Sergi Grau Carrión http://sergigrau.cat @sergi_grau