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SGAI
2004
Springer
15 years 10 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
15 years 10 months ago
Using visual features to build topological maps of indoor environments
Abstract— This paper addresses the problem of localization and map construction by a mobile robot in an indoor environment. Instead of trying to build high-fidelity geometric ma...
Paul E. Rybski, Franziska Zacharias, Jean-Fran&cce...
ICMI
2000
Springer
167views Biometrics» more  ICMI 2000»
15 years 8 months ago
Gravity-Center Template Based Human Face Feature Detection
This paper presents a simple and fast technique for geometrical feature detection of several human face organs such as eyes and mouth. Human face gravity-center template is firstly...
Jun Miao, Wen Gao, Yiqiang Chen, Jie Lu
PR
2007
192views more  PR 2007»
15 years 4 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
ICMCS
2009
IEEE
166views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Video text detection based on filters and edge features
Text detection plays a vital role in retrieving and browsing video data efficiently and accurately. In this paper, we propose a method for detecting both graphics and scene text i...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...