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IJCV
2000
164views more  IJCV 2000»
13 years 8 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ICIP
2007
IEEE
14 years 3 months ago
Energetic Particle Filter for Online Multiple Target Tracking
Online target tracking requires to solve two problems: data association and online dynamic estimation. Usually, association effectiveness is based on prior information and observa...
Abir El Abed, Séverine Dubuisson, Dominique...
NIPS
2007
13 years 10 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
ICPR
2004
IEEE
14 years 10 months ago
Jet Based Feature Classification
In this paper, we investigate to which extent the "raw" mapping of Taylor series coefficients into jet-space can be used as a "language" for describing local i...
Kim Steenstrup Pedersen, Martin Lillholm
ICCV
2011
IEEE
12 years 9 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden