Journal ArticleDOI
A review of log-polar imaging for visual perception in robotics
TLDR
This paper surveys the application of log-polar imaging in robotic vision, particularly in visual attention, target tracking, egomotion estimation, and 3D perception and to help readers identify promising research directions.About:
This article is published in Robotics and Autonomous Systems.The article was published on 2010-04-01. It has received 154 citations till now. The article focuses on the topics: Visual perception & Vision science.read more
Citations
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Journal ArticleDOI
Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing
M. Joseph Hughes,Daniel J. Hayes +1 more
TL;DR: A novel algorithm to identify and classify clouds and cloud shadow, SPARCS: Spatial Procedures for Automated Removal of Cloud and Shadow, is developed, which provides a measure of uncertainty in its classification that can be exploited by other algorithms that require clear sky pixels.
Journal ArticleDOI
Traffic sign recognition using group sparse coding
TL;DR: This paper introduces a new feature learning approach using group sparse coding that outperforms existing coding methods and the obtained results are comparable to the state-of-the-art.
Proceedings ArticleDOI
Robot-centric Activity Recognition from First-Person RGB-D Videos
TL;DR: A framework and algorithm to analyze first person RGBD videos captured from the robot while physically interacting with humans and shows that separating the descriptors extracted from ego-motion and independent motion areas, and using them both, allows the algorithm to achieve superior recognition results.
Journal ArticleDOI
A Taxonomy of Vision Systems for Ground Mobile Robots
Jesus Martínez-Gómez,Antonio Fernández-Caballero,Ismael García-Varea,Luis Rodríguez,Cristina Romero-González +4 more
TL;DR: A global picture of the state of the art in the area is offered and some promising research lines are discovered, namely in order to respond to the main questions posed when designing robotic vision systems.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.