Sum and Difference Histograms for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Preliminary Results on the use of Stereo, Color Cameras and Laser Sensors in Antarctica
The Sixth International Symposium on Experimental Robotics VI
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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In this paper a complete strategy for scene modeling from sensory data acquired in a natural environment is defined. This strategy is applied to outdoor mobile robotics and goes from environment recognition to landmark extraction. In this work, environment is understood as a specific kind of landscape, for instance, a prairie, a forest, a desert, etc. A landmark is defined as a remarkable object in the environment. In the context of outdoor mobile robotics a landmark has to be useful to accomplish localization and navigation tasks.