Title :
The radiometry of multiple images
Author :
Luong, Q. Tuan ; Fua, Pascal ; Leclerc, Yvan G.
Author_Institution :
Artificial Intelligence Center, SRI Int., Menlo Park, CA, USA
fDate :
1/1/2002 12:00:00 AM
Abstract :
We introduce a methodology for radiometric reconstruction (i.e. the simultaneous recovery of multiple illuminants and surface albedoes from multiple views), assuming that the geometry of the scene and of the cameras is known. We formulate a linear theory of multiple illuminants and show its similarity to the theory of geometric recovery of multiple views. Linear and nonlinear implementations are proposed, simulation results are discussed and, finally, results on real images are presented
Keywords :
albedo; computer vision; geometry; image reconstruction; lighting; radiometry; Lambertian reflection; ambiant illumination; camera geometry; geometric recovery; image reconstruction; linear implementation; linear theory; multiple illuminants; multiple image radiometry; multiple views; nonlinear implementation; point light sources; radiometric reconstruction; radiometric recovery; scene geometry; simulation; simultaneous recovery; surface albedo; Cameras; Geometry; Image reconstruction; Layout; Light sources; Lighting; Photometry; Radiometry; Reflectivity; Surface reconstruction;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
