要塞 发表于 2025-3-26 23:34:54
http://reply.papertrans.cn/24/2344/234301/234301_31.pngParley 发表于 2025-3-27 03:36:00
Edge tracing in a priori known direction,ning procedure. The way of searching for starting points is discussed as well as choosing and joining fragments of edges assuring the best correspondence between the found edge and the knowledge possessed. The algorithm shows good insensitivity to noise and local edge distortions.易于出错 发表于 2025-3-27 07:51:11
http://reply.papertrans.cn/24/2344/234301/234301_33.pngfatty-acids 发表于 2025-3-27 13:28:18
Detection of general edges and keypoints,tion of edges, lines and combinations thereof. We derive an ” edge quality” measure which allows to test the validity of a general edge model. A detection scheme for keypoints is proposed based on an analysis of oriented energy channels using differential geometry.生存环境 发表于 2025-3-27 15:52:27
http://reply.papertrans.cn/24/2344/234301/234301_35.pngOutshine 发表于 2025-3-27 18:38:10
Lewis Williams Douglas, 1947–50lti-valuedness (transparancy) and visual coherence into a single model..We consider the case of velocity tuning to illustrate the method. The emphasis, however, is on the formalism, which is more generally applicable.Corroborate 发表于 2025-3-28 00:45:38
https://doi.org/10.1057/9781137295576s. Owing to the integration, the active contour locates itself precisely to the object boundary for complex background images. Moreover, C. discontinuity of the contour is realized as changes of the object sub-regions‘ boundaries. The experiments show these advantages.放气 发表于 2025-3-28 02:52:50
P. Braude,M. Johnson,S. Pickering,C. Vincenta small number of images without using any feature correspondence or image segmentation. Applicable objects include uniformly or nonuniformly colored dielectrics and metals, under extended and multiply colored scene illumination. Experimental results agree with the model, and the algorithm performs well within the limitations discussed.低三下四之人 发表于 2025-3-28 09:27:20
Embryonic Loss: Clinical Perspectives,gions while model-driven selection is achieved by locating instances of the model in the image using the color region description of the model. The approach presented here tolerates some of the problems of occlusion, pose and illumination changes that make a model instance in an image appear different from its original description.有角 发表于 2025-3-28 14:20:09
https://doi.org/10.1007/978-3-642-66496-0rom the shading flow field, and smoothness, material, and light source compatibility conditions resolve them into consistent scene descriptions. Shadows and related difficulties for the classical approach are discussed.