Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications.

Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications.

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Bibliographic Details
Main Author: Lafruit, Gauthier
Other Authors: Teratani, Mehrdad
Format: Electronic eBook
Language:English
Published: London, United Kingdom : Institution of Engineering & Technology, 2022.
Series:Computing and Networks
Subjects:
Virtual reality.
Virtual Reality.
virtual reality.
Online Access:Connect to this title online (unlimited simultaneous users allowed; 365 uses per year)

MARC

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245 1 0 |a Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications. 
264 1 |a London, United Kingdom :  |b Institution of Engineering & Technology,  |c 2022. 
300 |a 1 online resource ( 428 pages) :. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Computing and Networks 
505 0 0 |a Machine generated contents note:   |g 1.  |t Immersive video introduction --   |t References --   |g 2.  |t Virtual reality --   |g 2.1.  |t Introduction/history --   |g 2.2.  |t challenge of three to six degrees of freedom --   |g 2.3.  |t challenge of stereoscopic to holographic vision --   |t References --   |g 3.  |t 3D gaming and VR --   |g 3.1.  |t OpenGLinVR --   |g 3.2.  |t 3D data representations --   |g 3.2.1.  |t Triangular meshes --   |g 3.2.2.  |t Subdivision surfaces and Bezier curves --   |g 3.2.3.  |t Textures and cubemaps --   |g 3.3.  |t OpenGL pipeline --   |t References --   |g 4.  |t Camera and projection models --   |g 4.1.  |t Mathematical preliminaries --   |g 4.2.  |t pinhole camera model --   |g 4.3.  |t Intrinsics of the pinhole camera --   |g 4.4.  |t Projection matrices --   |g 4.4.1.  |t Mathematical derivation of projection matrices --   |g 4.4.2.  |t Characteristics of the projection matrices --   |t References --   |g 5.  |t Light equations --   |g 5.1.  |t Light contributions --   |g 5.1.1.  |t Emissive light source --   |g 5.1.2.  |t Ambient light --   |g 5.1.3.  |t Diffuse light --   |g 5.1.4.  |t Specular light --   |g 5.2.  |t Physically correct light models --   |g 5.3.  |t Light models for transparent materials --   |g 5.4.  |t Shadows rendering --   |g 5.5.  |t Mesh-based 3D rendering with light equations --   |g 5.5.1.  |t Gouraud shading --   |g 5.5.2.  |t Phong shading --   |g 5.5.3.  |t Bump mapping --   |g 5.5.4.  |t 3D file formats --   |t References --   |g 6.  |t Kinematics --   |g 6.1.  |t Rigid body animations --   |g 6.1.1.  |t Rotations with Euler angles --   |g 6.1.2.  |t Rotations around an arbitrary axis --   |g 6.1.3.  |t ModelView transformation --   |g 6.2.  |t Quaternions --   |g 6.2.1.  |t Spherical linear interpolation --   |g 6.3.  |t Deformable body animations --   |g 6.3.1.  |t Keyframes and inverse kinematics --   |g 6.3.2.  |t Clothes animation --   |g 6.3.3.  |t Particle systems --   |g 6.4.  |t Collisions in the physics engine --   |g 6.4.1.  |t Collision of a triangle with a plane --   |g 6.4.2.  |t Collision between two spheres, only one moving --   |g 6.4.3.  |t Collision of two moving spheres --   |g 6.4.4.  |t Collision of a sphere with a plane --   |g 6.4.5.  |t Collision of a sphere with a cube --   |g 6.4.6.  |t Separating axes theorem and bounding boxes --   |t References --   |g 7.  |t Raytracing --   |g 7.1.  |t Raytracing complexity --   |g 7.2.  |t Raytracing with analytical objects --   |g 7.3.  |t VR challenges --   |t References --   |g 8.  |t 2D transforms for VR with natural content --   |g 8.1.  |t affine transform --   |g 8.2.  |t homography --   |g 8.3.  |t Homography estimation --   |g 8.4.  |t Feature points and RANSAC outliers for panoramic stitching --   |g 8.5.  |t Homography and affine transform revisited --   |g 8.6.  |t Pose estimation for AR --   |t References --   |g 9.  |t 3DoF VR with natural content --   |g 9.1.  |t Stereoscopic viewing --   |g 9.2.  |t 360 panoramas --   |g 9.2.1.  |t 360 panoramas with planar reprojections --   |g 9.2.2.  |t Cylindrical and spherical 360 panoramas --   |g 9.2.3.  |t 360 panoramas with equirectangular projection images --   |t References --   |g 10.  |t VR goggles --   |g 10.1.  |t Wide angle lens distortion --   |g 10.1.1.  |t Wide angle lens model --   |g 10.1.2.  |t Radial distortion model --   |g 10.1.3.  |t VR goggles pre-distortion --   |g 10.2.  |t Asynchronous high frame rate rendering --   |g 10.3.  |t Stereoscopic time warping --   |g 10.4.  |t Advanced HMD rendering --   |g 10.4.1.  |t Optical systems --   |g 10.4.2.  |t Eye accommodation --   |t References --   |g 11.  |t 6DoF navigation --   |g 11.1.  |t 6DoF with point clouds --   |g 11.2.  |t Active depth sensing --   |g 11.3.  |t Time of flight --   |g 11.3.1.  |t Phase from a modulated light source --   |g 11.3.2.  |t Structured light --   |g 11.3.3.  |t Phase from interferometry --   |g 11.4.  |t Point cloud registration and densification --   |g 11.4.1.  |t Photogrammetry --   |g 11.4.2.  |t SLAM navigational applications --   |g 11.5.  |t 3D rendering of point clouds --   |g 11.5.1.  |t Poisson reconstruction --   |g 11.5.2.  |t Splatting --   |t References --   |g 12.  |t Towards 6DoF with image-based rendering --   |g 12.1.  |t Introduction --   |g 12.2.  |t Finding relative camera positions --   |g 12.2.1.  |t Epipolar geometry --   |g 12.2.2.  |t Rotation and translation from the essential and fundamental matrices --   |g 12.2.3.  |t Epipolar line equation --   |g 12.2.4.  |t Extrinsics with checkerboard calibration --   |g 12.2.5.  |t Extrinsics with sparse bundle adjustment --   |g 12.2.6.  |t Depth estimation --   |g 12.2.7.  |t Stereo matching --   |g 12.2.8.  |t Depth quantization --   |g 12.2.9.  |t Stereo matching and cost volumes --   |g 12.2.10.  |t Occlusions --   |g 12.2.11.  |t Stereo matching with adaptive windows around depth discontinuities --   |g 12.2.12.  |t Stereo matching with priors --   |g 12.2.13.  |t Uniform texture regions --   |g 12.2.14.  |t Epipolar plane image with multiple images --   |g 12.2.15.  |t Plane sweeping --   |g 12.3.  |t Graph cut --   |g 12.3.1.  |t binary graph cut --   |g 12.4.  |t MPEG reference depth estimation --   |g 12.5.  |t Depth estimation challenges --   |g 12.6.  |t 6DoF view synthesis with depth image-based rendering --   |g 12.6.1.  |t Morphing without depth --   |g 12.6.2.  |t Nyquist-Whittaker-Shannon and Petersen-Middleton in DIBR view synthesis --   |g 12.6.3.  |t Depth-based 2D pixel to 3D point reprojections --   |g 12.6.4.  |t Splatting and hole filling --   |g 12.6.5.  |t Super-pixels and hole filling --   |g 12.6.6.  |t Depth reliability in view synthesis --   |g 12.6.7.  |t MPEG-I view synthesis with estimated depth maps --   |g 12.6.8.  |t MPEG-I view synthesis with sensed depth maps --   |g 12.6.9.  |t Depth layered images-Google --   |g 12.7.  |t Use case I: view synthesis in holographic stereograms --   |g 12.8.  |t Use case II: view synthesis in integral photography --   |g 12.9.  |t Difference between PCC and DIBR --   |t References --   |g 13.  |t Multi-camera acquisition systems --   |g 13.1.  |t Stereo vision --   |g 13.2.  |t Multiview vision --   |g 13.2.1.  |t Geometry correction for camera array --   |g 13.2.2.  |t Colour correction for camera array --   |g 13.3.  |t Plenoptic imaging --   |g 13.3.1.  |t Processing tools for plenoptic camera --   |g 13.3.2.  |t Conversion from Lenslet to Multi view images for plenoptic camera 1.0 --   |t References --   |g 14.  |t 3D light field displays --   |g 14.1.  |t 3D TV --   |g 14.2.  |t Eye vision --   |g 14.3.  |t Surface light field system --   |g 14.4.  |t 1D-II 3D display system --   |g 14.5.  |t Integral photography --   |g 14.6.  |t Real-time free viewpoint television --   |g 14.7.  |t SMV256 --   |g 14.8.  |t Light field video camera system --   |g 14.9.  |t Multipoint camera and microphone system --   |g 14.10.  |t Walk-through system --   |g 14.11.  |t Ray emergent imaging (REI) --   |g 14.12.  |t Holografika --   |g 14.13.  |t Light field 3D display --   |g 14.14.  |t Aktina Vision --   |g 14.15.  |t IP by 3D VIVANT --   |g 14.16.  |t Projection type IP --   |g 14.17.  |t Tensor display --   |g 14.18.  |t Multi-, plenoptic-, coded-aperture-, multi-focus-camera to tensor display system --   |g 14.19.  |t 360° light field display --   |g 14.20.  |t 360° mirror scan --   |g 14.21.  |t Seelinder --   |g 14.22.  |t Holo Table --   |g 14.23.  |t fVisiOn --   |g 14.24.  |t Use cases of virtual reality systems --   |g 14.24.1.  |t Public use cases --   |g 14.24.2.  |t Professional use cases --   |g 14.24.3.  |t Scientific use cases --   |t References --   |g 15.  |t Visual media compression --   |g 15.1.  |t 3D video compression --   |g 15.1.1.  |t Image and video compression --   |g 15.2.  |t MPEG standardization and compression with 2D video codecs --   |g 15.2.1.  |t Cubemap video --   |g 15.2.2.  |t Multiview video and depth compression (3D-HEVC) --   |g 15.2.3.  |t Dense light field compression --   |g 15.3.  |t Future challenges in 2D video compression --   |g 15.4.  |t MPEG codecs for 3D immersion --   |g 15.4.1.  |t Point cloud coding with 2D video codecs --   |g 15.4.2.  |t MPEG immersive video compression --   |g 15.4.3.  |t Visual volumetric video coding --   |g 15.4.4.  |t Compression for light field displays --   |t References --   |g 16.  |t Conclusion and future perspectives. 
533 |a Electronic reproduction.  |b Ann Arbor, MI  |n Available via World Wide Web. 
650 0 |a Virtual reality.  |0 http://id.loc.gov/authorities/subjects/sh92000880 
650 2 |a Virtual Reality.  |0 (DNLM)D000076142 
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650 7 |a Virtual reality.  |2 fast  |0 (OCoLC)fst01167688  |0 http://id.worldcat.org/fast/1167688 
700 1 |a Teratani, Mehrdad.  |0 http://id.loc.gov/authorities/names/no2022056540 
776 0 8 |i Print version:  |a Lafruit, Gauthier.  |t Virtual Reality and Light Field Immersive Video Technologies for Real-World Applications.  |d Stevenage : Institution of Engineering & Technology, ©2022  |z 9781785615788 
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