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» Path Variation and Image Segmentation
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CVPR
2007
IEEE
14 years 12 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...
DAGM
2007
Springer
14 years 4 months ago
Classifying Glaucoma with Image-Based Features from Fundus Photographs
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not p...
Rüdiger Bock, Jörg Meier, Georg Michelso...
CVPR
2008
IEEE
14 years 12 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
ECCV
2000
Springer
14 years 11 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
AI
1999
Springer
13 years 9 months ago
Understanding Mechanical Motion: From Images to Behaviors
We present an algorithm for producing behavior descriptions of planar fixed axes mechanical motions from image sequences using a formal behavior language. The language, which cove...
Tzachi Dar, Leo Joskowicz, Ehud Rivlin