MRT letter: Recovering weak‐textured surfaces using image focus |
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Authors: | Mannan Saeed Muhammad Tae‐Sun Choi |
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Affiliation: | Signal and Image Processing Laboratory, School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan‐Gwagiro, Buk‐Gu, Gwangju 500‐712, South Korea |
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Abstract: | In nature, objects have partially weak texture and their shape reconstruction using focus based passive methods like shape from focus (SFF), is difficult. This article presents a new SFF algorithm which can compute precise depth of dense as well as weak textured objects. Segmentation is applied to discard wrong depth estimate and then later interpolating them from accurate depth values of their neighbors. The performance of the proposed method is tested, using different image sequences of synthetic and real objects, with varying textures. Microsc. Res. Tech., 2009. © 2009 Wiley‐Liss, Inc. |
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Keywords: | shape from focus texture 3D shape recovery |
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