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» Image Categorization Using Local Probabilistic Descriptors
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IROS
2006
IEEE
111views Robotics» more  IROS 2006»
14 years 3 months ago
A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
Patrick Heinemann, Jürgen Haase, Andreas Zell
IROS
2008
IEEE
114views Robotics» more  IROS 2008»
14 years 3 months ago
Fast color/texture segmentation for outdoor robots
— We present a fast integrated approach for online segmentation of images for outdoor robots. A compact color and texture descriptor has been developed to describe local color an...
Morten Rufus Blas, Motilal Agrawal, Aravind Sundar...
ICIP
2002
IEEE
14 years 10 months ago
A method for color naming and description of color composition in images
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...
Aleksandra Mojsilovic
AAAI
2004
13 years 10 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
MM
2005
ACM
243views Multimedia» more  MM 2005»
14 years 2 months ago
Image region entropy: a measure of "visualness" of web images associated with one concept
We propose a new method to measure “visualness” of concepts, that is, what extent concepts have visual characteristics. To know which concept has visually discriminative power...
Keiji Yanai, Kobus Barnard