A stereo disparity algorithm for 3D model construction
A stereo disparity algorithm for 3D model construction
- Author(s): D.V. Papadimitriou and T.J. Dennis
- DOI: 10.1049/cp:19950644
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- Author(s): D.V. Papadimitriou and T.J. Dennis Source: Fifth International Conference on Image Processing and its Applications, 1995 p. 178 – 182
- Conference: Fifth International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19950644
- ISBN: 0 85296 642 3
- Location: Edinburgh, UK
- Conference date: 4-6 July 1995
- Format: PDF
Stereo vision is an important passive method for extracting the 3D structure of a scene. It involves the analysis of at least two digital images with overlapping fields of view. We describe a hierarchical algorithm for the computation of a dense disparity field from a binocular view. Since our goal is the measurement of 3D scene structure with application to model-based image coding where a continuous surface description is required, we concentrate on area- rather than feature-based matching. The main features of the algorithm are: the synthesis of a variable disparity search range in a blockwise fashion; the active use of an occlusion detector; and the inclusion of a well-defined interpolation scheme that preserves discontinuities and avoids blurring near occlusion boundaries. These lead to a robust procedure for measuring continuous disparity fields.
Inspec keywords: image coding; feature extraction; interpolation; image matching; signal detection; stereo image processing
Subjects: Optical information, image and video signal processing; Interpolation and function approximation (numerical analysis); Codes; Interpolation and function approximation (numerical analysis); Pattern recognition
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