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Occlusion Boundaries: Low-Level Detection to High-Level Reasoning (2008)

by A Stein
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2.1 depth estimation of frames in image sequences using motion occlusions

by Guillem Palou - ECCV Workshops, volume 7585 of Lecture Notes in Computer Science , 2012
"... Abstract. This paper proposes a system to depth order regions of a frame belonging to a monocular image sequence. For a given frame, re-gions are ordered according to their relative depth using the previous and following frames. The algorithm estimates occluded and disoccluded pixels belonging to th ..."
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Abstract. This paper proposes a system to depth order regions of a frame belonging to a monocular image sequence. For a given frame, re-gions are ordered according to their relative depth using the previous and following frames. The algorithm estimates occluded and disoccluded pixels belonging to the central frame. Afterwards, a Binary Partition Tree (BPT) is constructed to obtain a hierarchical, region based repre-sentation of the image. The final depth partition is obtained by means of energy minimization on the BPT. To achieve a global depth ordering from local occlusion cues, a depth order graph is constructed and used to eliminate contradictory local cues. Results of the system are evaluated and compared with state of the art figure/ground labeling systems on several datasets, showing promising results. 1
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...ignments. When two depth planes meet, the part of the contour belonging to the closest region is assigned figure, or ground otherwise, see Figure 6. The datasets are the Carneige Mellon Dataset (CMU) =-=[19]-=- and the Berkeley Dataset (BDS) [8]. Results contain sequences with ground-truth data (30 for the CMU, 42 for the BDS). Table 1 shows the percentage of correct f/g assignments on detected contours. It...

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