Abstract | ||
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Photometric stereo is a method of recovering surface normals (needle map) from images. The surface inte- gral of surface normals is used to reconstruct a depth map; however, the depth edges, which are discontinuous boundaries of the depth map, pose a problem for pho- tometric stereo. When the surface of objects includes depth edges, the reconstructed depth map may contain errors. To solve this problem, we detect depth edges using shadows and compute a relative depth between two distant points using the widths of the correspond- ing shadows. We define an error function and recon- struct the depth map by minimizing the error function. Experimental results with synthetic and with real image data demonstrate the effectiveness of our approach. |
Year | DOI | Venue |
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2008 | 10.1109/ICPR.2008.4761015 | Tampa, FL |
Keywords | Field | DocType |
cartography,image reconstruction,stereo image processing,depth edges,depth map reconstruction,needle maps,photometric stereo | Iterative reconstruction,Surface reconstruction,Computer vision,Error function,Computer graphics (images),Computer science,Surface integral,Pixel,Artificial intelligence,Depth map,Real image,Photometric stereo | Conference |
ISSN | ISBN | Citations |
1051-4651 E-ISBN : 978-1-4244-2175-6 | 978-1-4244-2175-6 | 2 |
PageRank | References | Authors |
0.37 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masaaki Iiyama | 1 | 17 | 14.23 |
Koki Hamada | 2 | 2 | 0.37 |
koh kakusho | 3 | 11 | 2.85 |
Michihiko Minoh | 4 | 349 | 58.69 |