On the evaluation of scene flow estimation

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2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Pages148-157
Number of pages10
EditionPART 2
DOIs
StatePublished - 2012
EventComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings - Florence, Italy
Duration: 7 Oct 201213 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7584 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Country/TerritoryItaly
CityFlorence
Period7/10/1213/10/12

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