TY - GEN
T1 - On the evaluation of scene flow estimation
AU - Mordohai, Philippos
PY - 2012
Y1 - 2012
N2 - This paper surveys the state of the art in evaluating the performance of scene flow estimation and points out the difficulties in generating benchmarks with ground truth which have not allowed the development of general, reliable solutions. Hopefully, the renewed interest in dynamic 3D content, which has led to increased research in this area, will also lead to more rigorous evaluation and more effective algorithms. We begin by classifying methods that estimate depth, motion or both from multi-view sequences according to their parameterization of shape and motion. Then, we present several criteria for their evaluation, discuss their strengths and weaknesses and conclude with recommendations.
AB - This paper surveys the state of the art in evaluating the performance of scene flow estimation and points out the difficulties in generating benchmarks with ground truth which have not allowed the development of general, reliable solutions. Hopefully, the renewed interest in dynamic 3D content, which has led to increased research in this area, will also lead to more rigorous evaluation and more effective algorithms. We begin by classifying methods that estimate depth, motion or both from multi-view sequences according to their parameterization of shape and motion. Then, we present several criteria for their evaluation, discuss their strengths and weaknesses and conclude with recommendations.
UR - http://www.scopus.com/inward/record.url?scp=84867703996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867703996&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33868-7_15
DO - 10.1007/978-3-642-33868-7_15
M3 - Conference contribution
AN - SCOPUS:84867703996
SN - 9783642338670
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 148
EP - 157
BT - Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
T2 - Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Y2 - 7 October 2012 through 13 October 2012
ER -