On Refractive Optical Flow
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
On Refractive Optical Flow. / Agarwal, Sameer; Mallick, Satya P.; Kriegman, David; Belongie, Serge.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, p. 483-494.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - On Refractive Optical Flow
AU - Agarwal, Sameer
AU - Mallick, Satya P.
AU - Kriegman, David
AU - Belongie, Serge
PY - 2004
Y1 - 2004
N2 - This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object from a video sequence acquired as the background behind the refracting object moves. By structure here we mean a representation of how the object warps and attenuates (or amplifies) the light passing through it. We distinguish between the cases when the background motion is known and unknown. We show that when the motion is unknown, the refractive structure can only be estimated up to a six-parameter family of solutions without additional sources of information. Methods for solving for the refractive structure are described in both cases. The performance of the algorithm is demonstrated on real data, and results of applying the estimated refractive structure to the task of environment matting and compositing are presented.
AB - This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object from a video sequence acquired as the background behind the refracting object moves. By structure here we mean a representation of how the object warps and attenuates (or amplifies) the light passing through it. We distinguish between the cases when the background motion is known and unknown. We show that when the motion is unknown, the refractive structure can only be estimated up to a six-parameter family of solutions without additional sources of information. Methods for solving for the refractive structure are described in both cases. The performance of the algorithm is demonstrated on real data, and results of applying the estimated refractive structure to the task of environment matting and compositing are presented.
UR - http://www.scopus.com/inward/record.url?scp=24644496412&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-24671-8_38
DO - 10.1007/978-3-540-24671-8_38
M3 - Journal article
AN - SCOPUS:24644496412
SP - 483
EP - 494
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -
ID: 302055663