Title | ||
---|---|---|
Efficient Local Stereo Matching Technique Using Weighted Guided Image Filtering (Wgif) |
Abstract | ||
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We propose new local stereo matching method based on weighted guided image filtering (WGIF). We utilize the WGIF by using local variance window of pixel in a guidance image which is applied to calculate local weights for cost volume filtering. The proposed method shows better performance than other cost filtering algorithms. |
Year | Venue | Field |
---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | Template matching,Stereo matching,Computer vision,Algorithm design,Non-local means,Computer science,Filter (signal processing),Local variance,Trilinear filtering,Artificial intelligence,Pixel |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gwang-Soo Hong | 1 | 21 | 5.53 |
Min-Su Koo | 2 | 0 | 0.34 |
Avishek Saha | 3 | 0 | 0.68 |
Byung-Gyu Kim | 4 | 396 | 39.17 |