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» Image Segmentation with A Bounding Box Prior
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ECCV
2008
Springer
16 years 1 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother
CVPR
2011
IEEE
14 years 7 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
IJCV
2006
262views more  IJCV 2006»
14 years 11 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ICCV
2011
IEEE
13 years 11 months ago
Trajectory reconstruction from non-overlapping surveillance cameras with relative depth ordering constraints
We present a method for reconstructing a trajectory of an object moving in front of non-overlapping fully or partially calibrated cameras. The non-overlapping setup turns that pro...
Branislav Micusik
IJDAR
2006
245views more  IJDAR 2006»
14 years 11 months ago
Object count/area graphs for the evaluation of object detection and segmentation algorithms
Evaluation of object detection algorithms is a non-trivial task: a detection result is usually evaluated by comparing the bounding box of the detected object with the bounding box...
Christian Wolf, Jean-Michel Jolion