Cooperative matching paradigm for the analysis of stereo image sequences
✍ Scribed by Wen-Hung Liao; J. K. Aggarwal
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 337 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0899-9457
No coin nor oath required. For personal study only.
✦ Synopsis
A general framework for the analysis of sequences of most algorithms consider only two sets of features at a time, we stereo images is presented in this article. The proposed paradigm choose to incorporate more feature sets (three or four) in the integrates spatial and temporal information to achieve robustness in feature-matching stage to reduce the correspondence ambiguities.
establishing stereo correspondence from images that possess a lim-Even though the simultaneous consideration of features from both ited number of salient features. Specifically, the recovery of dynamic the spatial and the temporal domain unavoidably increases the stereo information, and thus, the reconstruction of a three-dimencomputational complexity, the resulting algorithm offers rosional object structure, is accomplished using a feature-based apbustness that is particularly appropriate when the extracted feaproach. The multiset feature correspondence problem is cast into a tures are not stable [5]. Moreover, the generic paradigm can be four-dimensional problem which is subsequently solved using a tuned according to domain-specific knowledge to achieve better greedy-type local search algorithm. No assumption is made about the type of motion. The proposed algorithm may be applied to process efficiency, as will be shown later in the article.
image sequences containing both rigid and nonrigid shapes. The ef-
The rest of the article is organized as follows. In Section II, ficacy of the proposed approach is tested using both synthetic data we present a brief review of techniques in shape and motion and real images of a live frog's ventricle acquired by a stereo light analysis based on the cooperative matching principle. We motimicroscope. We also consider the incorporation of domain-specific vate the need for novel image analysis techniques by alluding to knowledge to enhance the performance of the cooperative matching certain deficiencies in current approaches. Section III introduces scheme.