Paper
9 June 2006 Building 3D scenes from 2D image sequences
Author Affiliations +
Proceedings Volume 6252, Holography 2005: International Conference on Holography, Optical Recording, and Processing of Information; 62521D (2006) https://doi.org/10.1117/12.677057
Event: Holography 2005: International Conference on Holography, Optical Recording, and Processing of Information, 2005, Varna, Bulgaria
Abstract
Sequences of 2D images, taken by a single moving video receptor, can be fused to generate a 3D representation. This dynamic stereopsis exists in birds and reptiles, whereas the static binocular stereopsis is common in mammals, including humans. Most multimedia computer vision systems for stereo image capture, transmission, processing, storage and retrieval are based on the concept of binocularity. As a consequence, their main goal is to acquire, conserve and enhance pairs of 2D images able to generate a 3D visual perception in a human observer. Stereo vision in birds is based on the fusion of images captured by each eye, with previously acquired and memorized images from the same eye. The process goes on simultaneously and conjointly for both eyes and generates an almost complete all-around visual field. As a consequence, the baseline distance is no longer fixed, as in the case of binocular 3D view, but adjustable in accordance with the distance to the object of main interest, allowing a controllable depth effect. Moreover, the synthesized 3D scene can have a better resolution than each individual 2D image in the sequence. Compression of 3D scenes can be achieved, and stereo transmissions with lower bandwidth requirements can be developed.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul Dan Cristea "Building 3D scenes from 2D image sequences", Proc. SPIE 6252, Holography 2005: International Conference on Holography, Optical Recording, and Processing of Information, 62521D (9 June 2006); https://doi.org/10.1117/12.677057
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KEYWORDS
Visualization

Eye

3D image processing

Image processing

Retina

Visual system

3D acquisition

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