Titlebook: Shape, Contour and Grouping in Computer Vision; David A. Forsyth,Joseph L. Mundy,Roberto Cipolla Book 1999 Springer-Verlag Berlin Heidelbe

昏暗

Grouping Based on Coupled Diffusion Mapslocal and bilocal - and for each a prototypical set of equations is presented. It is shown how different cues can be used for grouping given these two blueprints plus cue-specific specialisations. Results are shown for intensity, texture orientation, stereo disparity, opti- cal flow, mirror symmetry

换话题

Integrating Geometric and Photometric Information for Image Retrievalatched under similarity transformations by using local intensity invariants and semi-local geometric constraints. In the second, 3D curves and lines are matched between images using epipolar geometry and local photometric constraints. Both techniques are illustrated on real images..We show that thes

玩忽职守

Towards the Integration of Geometric and Appearance-Based Object Recognitionresearch in appearance-based methods, invariants and generic models our ability to recog- nize man-made and natural objects in cluttered scenes with complex illumination has not significantly increased.

PALL

中止

cruise

Tartar

尾随

Object Recognition with Gradient-Based Learningizing simple objects with high shape variability such as handwritten characters, it is possible, and even advantageous, to feed the system directly with minimally processed images and to rely on learning to extract the right set of features. Convolutional Neural Networks are shown to be particularly

famine

DOLT

Geometric Grouping of Repeated Elements within Images number of realim ages, where both the elements and the grouping are determined automatically..It is shown that the repeating element can be learnt from the image, and hence provides an image descriptor. Also, information on the plane pose, such as its vanishing line, can be recovered from the grouping.