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» Reformulating Constraint Models Using Input Data
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NIPS
2003
14 years 11 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
ICPR
2004
IEEE
15 years 11 months ago
BTF Image Space Utmost Compression and Modelling Method
The bidirectional texture function (BTF) describes texture appearance variations due to varying illumination and viewing conditions. This function is acquired by large number of m...
Jirí Filip, Michael Arnold, Michal Haindl
3DPH
2009
128views Healthcare» more  3DPH 2009»
14 years 11 months ago
Predicting Missing Markers in Real-Time Optical Motion Capture
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
Tommaso Piazza, Johan Lundström, Andreas Kunz...
DAGM
2004
Springer
15 years 3 months ago
Silhouette Based Human Motion Estimation
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Bodo Rosenhahn, Reinhard Klette, Gerald Sommer
ICCV
1995
IEEE
15 years 1 months ago
Recognizing 3D Objects Using Photometric Invariant
In this paper we describe a new e cient algorithm for recognizing 3D objects by combining photometric and geometric invariants. Some photometric properties are derived, that are i...
Kenji Nagao