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» 3D Model Recognition From Stereoscopic Cues
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CVPR
2008
IEEE
15 years 28 days ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
CVPR
2004
IEEE
15 years 28 days ago
A Model for Dynamic Shape and Its Applications
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Che-Bin Liu, Narendra Ahuja
3DIM
2007
IEEE
14 years 5 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...
IJMMS
2008
153views more  IJMMS 2008»
13 years 11 months ago
Physiology-based affect recognition for computer-assisted intervention of children with Autism Spectrum Disorder
Generally, an experienced therapist continuously monitors the affective cues of the children with Autism Spectrum Disorders (ASD) and adjusts the course of the intervention accord...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
BMCV
2000
Springer
14 years 3 months ago
Pose-Independent Object Representation by 2-D Views
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures cov...
Jan Wieghardt, Christoph von der Malsburg