JOURNAL ARTICLE

Hierarchical stereo matching using feature groupings

Abstract

A feature based stereo matching system is designed. A hierarchical grouping process that groups line segments into more complex structures that are easier to match is proposed. The hierarchy consists of lines, vertices, edges and surfaces. Matching starts at the highest level of the hierarchy (surfaces) and proceeds to the lowest (lines). Higher level features are easier to match, because they are fewer in number and more distinct in form. These matches then constrain the matches at lower levels. Perceptual and structural relations are used to group matches into islands of certainty. A truth maintenance system (TMS) is used to enforce grouping constraints and eliminates inconsistent match groupings.< >

Keywords:
Hierarchy Matching (statistics) Feature (linguistics) Artificial intelligence Computer science Pattern recognition (psychology) Line (geometry) Mathematics Statistics Geometry

Metrics

10
Cited By
0.00
FWCI (Field Weighted Citation Impact)
33
Refs
0.21
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering

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