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- aggregation classification "P1".
- aggregation creator person.
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- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 2975075.bibtex.
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- aggregation isPartOf urn:isbn:9780769547299.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Depth extraction from monocular video using bidirectional energy minimization and initial depth segmentation".
- aggregation abstract "In this paper, we propose to extract depth information from a monocular video sequence. When estimating the depth of the current frame, the bidirectional energy minimization in our scheme considers both the previous frame and next frame, which promises a much more robust depth map and reduces the problems associated with occlusion to a certain extent. After getting an initial depth map from bidirectional energy minimization, we further refine the depth map using segmentation by assuming similar depth values in one segmented region. Different from other segmentation algorithms, we use initial depth information together with the original color image to get more reliable segmented regions. Finally, detecting the sky region using a dark channel prior is employed to correct some possibly wrong depth values for outdoor video. The experimental results are much more accurate compared with the state-of-the-art algorithms.".
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- aggregation aggregates 2975098.
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- aggregation similarTo ICMEW.2012.94.
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