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» Tracking Complex Objects Using Graphical Object Models
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ICIP
2006
IEEE
15 years 11 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
CGF
2005
126views more  CGF 2005»
14 years 9 months ago
Pen-and-Ink for BlobTree Implicit Models
New techniques are presented for rendering complex hierarchical skeletal implicit models in several pen-and-ink styles. A particle system is employed to find interesting areas on ...
Kevin Foster, Pauline Jepp, Brian Wyvill, Mario Co...
ICCV
2005
IEEE
15 years 3 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
AMDO
2006
Springer
14 years 11 months ago
Interactive Soft Object Simulation with Quadratic Finite Elements
Abstract. We present a new method to simulate deformable volumetric objects interactively using finite elements. With quadratic basis functions and a non-linear strain tensor, we a...
Johannes Mezger, Wolfgang Straßer
GRAPHICSINTERFACE
2007
14 years 11 months ago
A GPU based interactive modeling approach to designing fine level features
In this paper we propose a GPU based interactive geometric modeling approach to designing fine level features on subdivision surfaces. Displacement mapping is a technique for addi...
Xin Huang, Sheng Li, Guoping Wang