Title :
When is the shape of a scene unique given its light-field: a fundamental theorem of 3D vision?
Author :
Baker, Simon ; Sim, Terence ; Kanade, Takeo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
6/25/1905 12:00:00 AM
Abstract :
The complete set of measurements that could ever be used by a passive 3D vision algorithm is the plenoptic function or light-field. We give a concise characterization of when the light-field of a Lambertian scene uniquely determines its shape and, conversely, when the shape is inherently ambiguous. In particular, we show that stereo computed from the light-field is ambiguous if and only if the scene is radiating light of a constant intensity (and color, etc.) over an extended region.
Keywords :
computer vision; image reconstruction; stereo image processing; 3D vision; computer vision; light-fields; plenoptic function; shape reconstruction; shape-from-silhouette; stereo; uniqueness; Cameras; Extraterrestrial measurements; Image reconstruction; Layout; Optical polarization; Position measurement; Reflectivity; Shape measurement; Time measurement; Wavelength measurement;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2003.1159949