Efficiently Combining Contour and Texture Cues for Object Recognition Jamie Shotton† Andrew Blake† Roberto Cipolla∗ † Microsoft Research Cambridge

Source URL: jamie.shotton.org

• Image segmentation
• One-shot learning
• Boosting
• Caltech 101
• Conference on Computer Vision and Pattern Recognition
• Outline of object recognition
• Constellation model
• Longuet-Higgins Prize

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• Noise pollution
• Natural environment
• Sound
• Health
• Noise barrier
• Noise regulation
• Roadway noise
• Noise
• Traffic simulation
• Health effects from noise
• Contour line

c Springer Verlag. The copyright for this contribution is held by Springer Verlag. The original publication is available at www.springerlink.com. The Impact of Unfocused Vickers Indentation

Source URL: wavelab.at

• Image segmentation
• Hardness tests
• Computer vision
• Vickers hardness test
• Edge detection
• Thresholding
• Active contour model

Contour-Based Learning for Object Detection Jamie Shotton Department of Engineering University of Cambridge

Source URL: jamie.shotton.org

• Artificial intelligence
• Computer vision
• Machine learning
• Feature detection
• Ensemble learning
• Boosting
• Constellation model
• AdaBoost
• Image segmentation
• Edge detection
• Outline of object recognition
• Decision stump

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221B Miscellaneous Notes on Contour Integrals Contour integrals are very useful technique to compute integrals. For example, there are many functions whose indefinite integrals can’t be written in terms of elementary f

Source URL: hitoshi.berkeley.edu