ACM Computing Surveys (CSUR)
Shape from texture
Motion and structure from optical flow
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
| Hi-index | 0.00 |
A single 2-D image is an ambiguom representation of the 3-D world many different scenes could have produced the same image - yet the human visual system is extremely successful at recovering a qualitatively correct depth model from this type of representation. Workers in the field of computational vision have devised many distinct schemes that attempt to duplicate this ability of human vision; these schemes are collectively called "shape from...." methods (e.g., shape from shading, shape from texture, shape from contour). In this paper we argue that the distinct assumptions employed by each of these different schemes must be equivalent to providing a second (virtual) image of the original scene, and that all of these different approaches can be translated into a conventional stereo formalism. In particular, we show that it is frequently possible to structure the problem as that of recovering depth from a stereo pair consisting of a conventionial perspective image (the original image) and an orthographic image (the virtual image). We provide a new algorithm of the form required to accomplish this type of stereo reconstruction task.