Abstract | ||
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We propose a method for extracting a shadow matte from a single image. The removal of shadows from a single image is a difficult problem to solve unless additional information is available. We use user-supplied hints to solve the problem. The proposed method estimates a fractional shadow matte using a graph cut energy minimization approach. We present a new hierarchical graph cut algorithm that efficiently solves the multi-labeling problems, allowing our approach to run at interactive speeds. The effectiveness of the proposed shadow removal method is demonstrated using various natural images, including aerial photographs. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-12307-8_22 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
interactive shadow removal,difficult problem,shadow matte,proposed shadow removal method,fractional shadow matte,various natural image,multi-labeling problem,graph cut energy minimization,new hierarchical graph cut,single image | Cut,Computer vision,Shadow,Computer science,Artificial intelligence,Graph cut algorithm,Energy minimization | Conference |
Volume | Issue | ISSN |
5994 LNCS | PART 1 | 16113349 |
ISBN | Citations | PageRank |
3-642-12306-6 | 26 | 0.79 |
References | Authors | |
23 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daisuke Miyazaki | 1 | 175 | 9.33 |
Yasuyuki Matsushita | 2 | 2046 | 113.32 |
Katsushi Ikeuchi | 3 | 4651 | 881.49 |