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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Banno, A. Ikeuchi, K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of Industrial Science, the University of Tokyo, Japan (Banno, A.) || Interfaculty Initiative in Information Studies, the University of Tokyo, Japan (Ikeuchi, K.) |
| Abstract | We propose a new binocular stereo algorithm and 3D reconstruction method from multiple disparity images. First, we present an accurate binocular stereo algorithm. In our algorithm, we use neither color segmentation nor plane fitting methods, which are common techniques among many algorithms nominated in the Middlebury ranking. These methods assume that the 3D world consists of a collection of planes and that each segment of a disparity map obeys a plane equation. We exclude these assumptions and introduce a Directed Anisotropic Diffusion technique for refining a disparity map. Second, we show a method to fill some holes in a distance map and smooth the reconstructed 3D surfaces by using another type of Anisotropic Diffusion technique. The evaluation results on the Middlebury datasets show that our stereo algorithm is competitive with other algorithms that adopt plane fitting methods. We present an experiment that shows the high accuracy of a reconstructed 3D model using our method, and the effectiveness and practicality of our proposed method in a real environment. |
| Starting Page | 1870 |
| Ending Page | 1877 |
| File Size | 4942243 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424444427 |
| DOI | 10.1109/ICCVW.2009.5457510 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Surface reconstruction Smoothing methods Anisotropic magnetoresistance Stereo image processing Surface fitting Stereo vision Image reconstruction Pixel Equations |
| Content Type | Text |
| Resource Type | Article |
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