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» Image Segmentation with A Bounding Box Prior
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ECCV
2008
Springer
14 years 10 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
13 years 4 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»
13 years 8 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
12 years 8 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»
13 years 8 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