1354 search results - page 29 / 271 » Learning Object Models from Appearance |
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
107
click to vote
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
114
click to vote
ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
102
click to vote
AVSS
2006
IEEE
15 years 3 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...