Scene Flow Estimation: A Survey
Zike Yan, Xuezhi Xiang

TL;DR
This survey provides a comprehensive overview of scene flow estimation, analyzing existing methods, datasets, evaluation protocols, and discussing future challenges and directions in the field.
Contribution
It is the first survey to systematically review and categorize scene flow estimation methods, datasets, and evaluation strategies, offering insights and future perspectives.
Findings
Categorization of algorithms by scene representation, data source, and calculation scheme
Comparison of pros and cons of different methods
Performance overview of key scene flow estimation algorithms
Abstract
This paper is the first to review the scene flow estimation field, which analyzes and compares methods, technical challenges, evaluation methodologies and performance of scene flow estimation. Existing algorithms are categorized in terms of scene representation, data source, and calculation scheme, and the pros and cons in each category are compared briefly. The datasets and evaluation protocols are enumerated, and the performance of the most representative methods is presented. A future vision is illustrated with few questions arisen for discussion. This survey presents a general introduction and analysis of scene flow estimation.
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Taxonomy
TopicsAdvanced Vision and Imaging · Advanced Image Processing Techniques · Image Enhancement Techniques
