Name
Abstract | ||
|---|---|---|
We address an open and hitherto neglected problem in computer vision, how to reconstruct the geometry of objects with arbitrary and possibly anisotropic bidi- rectional reflectance distribution functions (BRDFs). Present reconstruction techniques, whether stereo vi- sion, structure from motion, laser range finding, etc. make explicit or implicit assumptions about the BRDF. Here, we introduce two methods that were developed by re-examining the underlying image formation pro- cess; the methods make no assumptions about the ob- ject's shape, the presence or absence of shadowing, or. the nature of the BRDF which may vary over the sur- face. The first method takes advantage of Helmholtz reciprocity, while the second method exploits the fact that the, radiance along a ray of light is constant. In particular, the first method uses stereo pairs of images in which point light sources are co-located at the cen- ters of projection of the stereo cameras. The second method is based on double covering a scene's incident light field; the depths of surface points are estimated using a large collection of images in which the view- point remains fixed and a point light source illuminates the object. Results from our implementations lend em- pirical support to both techniques. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICCV.2001.937652 | Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference |
Keywords | Field | DocType |
image reconstruction,arbitrary BRDFs,computer vision,image formation process,incident light field,reconstructing surfaces,reconstruction techniques | Structure from motion,Helmholtz reciprocity,Computer vision,Stereo cameras,Ray,Computer science,Image formation,Artificial intelligence,Photometric stereo,3D reconstruction,Computer stereo vision | Conference |
Volume | ISBN | Citations |
2 | 0-7695-1143-0 | 58 |
PageRank | References | Authors |
3.21 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Magda | 1 | 113 | 6.75 |
| David Kriegman | 2 | 7693 | 451.96 |
| Todd Zickler | 3 | 1555 | 71.72 |
| Peter N. Belhumeur | 4 | 12242 | 1001.27 |