Disparity field and depth map coding for multiview 3D image generation

Tzovaras, Dimitrios; Grammalidis, Nikos; Strintzis, Michael G.

doi:10.1016/s0923-5965(97)00029-5

Cited by 31 publications

(12 citation statements)

References 22 publications

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“…The introduction of several formats such as depth/disparity maps [1] along with texture images, or stereo video signals enables rendering of two different views for right and left eyes of a user. As a result, the user obtains 3D experience in viewing.…”

Section: Introductionmentioning

confidence: 99%

Performance-efficient architecture for free-viewpoint 3DTV receiver

Bondarev

Zinger

2010

2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)

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--This paper presents algorithmic and architectural solutions for a free-viewpoint 3DTV receiver system. We describe our rendering algorithm and evaluate performancerelated challenges in mapping of the algorithm on a receiver board of which the architecture is outlined. It is found that the required processing load exceeds the provisioning of dual Virtex5 FPGAs. We develop several mapping optimizations to fit the rendering algorithm into a platform.

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Section: Introductionmentioning

confidence: 99%

Performance-efficient architecture for free-viewpoint 3DTV receiver

Bondarev

Zinger

2010

2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)

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“…However, the cost for the associated recording and transmission systems increases considerably as the number of views increases. In order to reduce this cost, virtual images from intermediate viewpoints have to be generated, using the existing real views and additional disparity information [1]- [5].…”

mentioning

confidence: 99%

“…Past research in this area includes the definition of methods for the transmission of sparse disparity fields [7], [18] for the realization of a stereoscopic image sequence coding scheme. The transmission of the dense disparity fields and depth maps was also investigated in [4] and [5], where various issues concerning multiview image sequence communication are discussed.…”

mentioning

confidence: 99%

Disparity and occlusion estimation in multiocular systems and their coding for the communication of multiview image sequences

Grammalidis¹,

Strintzis

1998

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-An efficient disparity estimation and occlusion detection algorithm for multiocular systems is presented. A dynamic programming algorithm, using a multiview matching cost as well as pure geometrical constraints, is used to estimate disparity and to identify the occluded areas in the extreme left and right views. A significant advantage of the proposed approach is that the exact number of views in which each point appears (is not occluded) can be determined. The disparity and occlusion information obtained may then be used to create virtual images from intermediate viewpoints. Furthermore, techniques are developed for the coding of occlusion and disparity information, which is needed at the receiver for the reproduction of a multiview sequence using the two encoded extreme views. Experimental results illustrate the performance of the proposed techniques.

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“…A number of methods have been developed for depth estimation in stereoscopic [16,15] and multiview [6,4] image sequences.…”

Section: Estimating the Initial Set Of 3-d Pointsmentioning

confidence: 99%