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» Toward Objective Evaluation of Image Segmentation Algorithms
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CVPR
2007
IEEE
16 years 2 months ago
Accurate Object Detection with Deformable Shape Models Learnt from Images
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
Cordelia Schmid, Frédéric Jurie, Vit...
132
Voted
ECCV
2010
Springer
15 years 5 months ago
Affine Puzzle: Realigning Deformed Object Fragments without Correspondences
This paper is addressing the problem of realigning broken objects without correspondences. We consider linear transformations between the object fragments and present the method ...
Csaba Domokos and Zoltan Kato
CIVR
2007
Springer
180views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Probabilistic matching and resemblance evaluation of shapes in trademark images
We present a novel matching and similarity evaluation method for planar geometric shapes represented by sets of polygonal curves. Given two shapes, the matching algorithm randomly...
Helmut Alt, Ludmila Scharf, Sven Scholz
104
Voted
GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
15 years 4 months ago
A Genetic Segmentation Algorithm for Image Data Streams and Video
We describe a genetic segmentation algorithm for image data streams and video. This algorithm operates on segments of a string representation. It is similar to both classical gene...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...
99
Voted
CVPR
2007
IEEE
16 years 2 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele