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MICCAI
2001
Springer
15 years 5 months ago
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue, subcortical structures, fluid space and lesions followed by volume calculations of gr...
Guido Gerig, Martin Styner, Martha Elizabeth Shent...
CVPR
2007
IEEE
16 years 3 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
15 years 7 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 2 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
ICCV
2011
IEEE
14 years 1 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...