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- W2392719692 abstract "Natural landmark detection is a basis of mobile robots navigation to represent and recognize unknown environments.A saliency based adaptive natural landmarks detecting system is presented in this paper.Firstly the detail preserving sampling scheme is designed to create multi-scale image spaces where opponencies of color and texture are computed.And the Gabor filter,which can adjust parameters adaptively,is designed to analyze texture of all kinds of environments.At last the saliency map that points out where can be treated as natural landmark is created.Experiments show that this algorithm has better precision on detecting salient points and better repeatability including scale,rotation and viewpoint invariance." @default.
- W2392719692 created "2016-06-24" @default.
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- W2392719692 date "2006-01-01" @default.
- W2392719692 modified "2023-09-25" @default.
- W2392719692 title "Visual Saliency Based Natural Landmarks Detection under Unknown Environments" @default.
- W2392719692 hasPublicationYear "2006" @default.
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