An optimal linear operator for step edge detection
CVGIP: Graphical Models and Image Processing
Navigation using affine structure from motion
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Shape Matching Using LAT and its Application to Handwritten Numeral Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Segmentation Using Feature Based Conditional Morphology
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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This paper presents an efficient Ubiquitous computing algorithm to detect a Korean traffic sign board using adaptive segmentation by estimating an inequality and proceeding the geometrical morphology, and matching with an adaptive local affine transform. Our approach shows significant performance with efficient detection about the traffic sign board and robust recognition of object sign. Also, detection with adaptive segmentation and recognition with adaptive local affine transformation by using TMS320C6711 DSP Vision Board are set to highlight the advantages of our algorithm.