JOURNAL ARTICLE

Fast stereo matching algorithm based on adaptive window

Abstract

Depth generation is the key technology in the 3DTV system. Due to the demands for accuracy and real-time execution, local methods are more suitable, but the challenge is to decide an appropriate window for each pixel. We propose a novel local method, which constructs the support windows adaptively only based on the intensity, and the process has no relation with disparities. This is the main difference between this algorithm and others. Furthermore, we take integral image technique to accelerate cost aggregation over support windows. To demonstrate the effectiveness of the algorithm, it has been tested on the benchmark Middlebury stereo database. The results show that our algorithm has comparable efficiency, and hence it is promising for practical application.

Keywords:
Computer science Benchmark (surveying) Window (computing) Key (lock) Process (computing) Matching (statistics) Artificial intelligence Pixel Relation (database) Image (mathematics) Computer vision Algorithm Data mining Mathematics

Metrics

8
Cited By
0.96
FWCI (Field Weighted Citation Impact)
14
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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