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2.1 Depth Estimation of Frames in Image Sequences Using Motion Occlusions
Guillem Palou and Philippe Salembier
Technical University of Catalonia (UPC), Dept. of Signal Theory and Communications, Barcelona, Spainguillem.palou@upc.edu
philippe.salembier@upc.edu
Abstract. This paper proposes a system to depth order regions of a frame belonging to a monocular image sequence. For a given frame, regions 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 representation 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.
LNCS 7585, p. 516 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012