Effective energy-based multi-view piecewise planar stereo

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• 作者：Yiran Wang ; Wei Wang ; Hai Zhu ; Shi Dong
• 关键词：plane fitting ; multi ; view stereo ; energy optimization ; piecewise planar stereo ; depth map
• 刊名：Pattern Recognition and Image Analysis
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：26
• 期：4
• 页码：726-733
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Pattern Recognition; Image Processing and Computer Vision;
• 出版者：Pleiades Publishing
• ISSN：1555-6212
• 卷排序：26

文摘

For piecewise planar scene modeling, many challenging issues still persist, in particular, how to generate sufficient candidate planes and how to assign an optimal plane for each spatial patch. To address these issues, we present a novel multi-view piecewise planar stereo method for the complete reconstruction. In our method, reconstruction is formulated as an energy-based plane labeling problem, where photo-consistency and geometric constraints are incorporated to a unified superpixel-level MRF (Markov Random Field) framework. To enhance the efficacy of the plane inference and optimization, an effective multi-direction plane sweeping with much restricted search space is carried out to generate sufficient and reliable candidate planes. Experiments show that our method can effectively handle many challenging factors (e.g., slant surfaces, textureless regions) and achieve satisfactory results.