標(biāo)題: Titlebook: An Introduction to Object Recognition; Selected Algorithms Marco Alexander Treiber Book 2010 Springer-Verlag London Limited 2010 3D.Appear [打印本頁] 作者: 女孩 時(shí)間: 2025-3-21 17:40
書目名稱An Introduction to Object Recognition影響因子(影響力)
書目名稱An Introduction to Object Recognition影響因子(影響力)學(xué)科排名
書目名稱An Introduction to Object Recognition網(wǎng)絡(luò)公開度
書目名稱An Introduction to Object Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱An Introduction to Object Recognition被引頻次
書目名稱An Introduction to Object Recognition被引頻次學(xué)科排名
書目名稱An Introduction to Object Recognition年度引用
書目名稱An Introduction to Object Recognition年度引用學(xué)科排名
書目名稱An Introduction to Object Recognition讀者反饋
書目名稱An Introduction to Object Recognition讀者反饋學(xué)科排名
作者: Enervate 時(shí)間: 2025-3-21 21:38
Die Vielfalt und Einheit der Moderneto be recognized as a whole, e.g., by one data set containing several global characteristics of the object like area, perimeter, and so on. Some typical algorithms sharing this object representation are presented in this chapter. A straightforward approach is to use an example image of the model to 作者: 屈尊 時(shí)間: 2025-3-22 03:07
Die Vielfalt und Einheit der Moderneecognition can be performed as follows: First, a point set is extracted from a scene image. Subsequently, the parameters of a transformation which defines a mapping of the model point set to the point set derived from the scene image are estimated. To this end, the so-called transformation space, wh作者: arsenal 時(shí)間: 2025-3-22 06:57
Friedrich Riffer,Barbara St?cklognition, e.g., from CAD data of the object shape. Typically, these methods are feature based, meaning that the object is characterized by a limited set of primitives called features. For example, the silhouette of many industrial objects can be modeled by a set of line segments and circular arcs as作者: Cpap155 時(shí)間: 2025-3-22 12:30 作者: Camouflage 時(shí)間: 2025-3-22 15:22
Die Vielgestaltigkeit der Psychosomatikto difficulties for deformable objects, specific approaches exist for such types of objects. These methods use parametric curves, which should approximate the object contour as good as possible. The parameters of the curve should offer enough degrees of freedom for accurate approximations. Two types作者: 隼鷹 時(shí)間: 2025-3-22 20:08 作者: 交響樂 時(shí)間: 2025-3-22 22:47 作者: 吊胃口 時(shí)間: 2025-3-23 01:48
An Introduction to Object Recognition978-1-84996-235-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 作者: Incumbent 時(shí)間: 2025-3-23 09:30
https://doi.org/10.1007/978-1-84996-235-33D; Appearance-based Recognition; Computer Vision; Image Retrieval; Object Alignment; Object Pose; Object 作者: 持續(xù) 時(shí)間: 2025-3-23 12:05 作者: 和平主義者 時(shí)間: 2025-3-23 14:05 作者: 危機(jī) 時(shí)間: 2025-3-23 18:02
Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/a/image/155402.jpg作者: right-atrium 時(shí)間: 2025-3-24 00:44 作者: 躺下殘殺 時(shí)間: 2025-3-24 03:32 作者: 致敬 時(shí)間: 2025-3-24 09:38 作者: 最高點(diǎn) 時(shí)間: 2025-3-24 14:04 作者: Galactogogue 時(shí)間: 2025-3-24 17:09 作者: AWRY 時(shí)間: 2025-3-24 20:37 作者: yohimbine 時(shí)間: 2025-3-25 01:18 作者: outer-ear 時(shí)間: 2025-3-25 04:23
Die Vielfalt und Einheit der Moderne a threshold for the portion of the point sets which has to be matched correctly. After introducing some typical transformations used in object recognition, some examples of algorithms exploring the transformation space including the so-called generalized Hough transform and the Hausdorff distance a作者: Intruder 時(shí)間: 2025-3-25 10:48
Friedrich Riffer,Barbara St?cklshort introduction of some feature types, which typically are used in correspondence-based matching, two types of algorithms are presented. The first type represents the correspondences in a graph or tree structure, where the topology is explored during matching. The second method, which is called g作者: 制度 時(shí)間: 2025-3-25 13:08
https://doi.org/10.1007/978-3-662-54146-3rrespondences between special configurations of multiple features are established here. First of all, the SCERPO system makes use of feature groupings which are perceived similar from a wide variety of viewpoints. Another method, called relational indexing, uses hash tables to speed up the search. F作者: Nibble 時(shí)間: 2025-3-25 19:48
Die Vielgestaltigkeit der Psychosomatiknce metric between arbitrarily shaped curves. Turning functions or the so-called curvature scale space are examples of such measures. The metrics often follow the paradigm of perceptual similarity, i.e., they intend to behave similar to the human vision system.作者: Flounder 時(shí)間: 2025-3-25 23:06
Psychische Komorbidit?ten bei Adip?senrnatives for interest point detectors and region descriptors have been suggested. Some of these alternatives are presented in this chapter. It is completed by showing how region descriptors can be used in the field of scene categorization, where the scene shown in an image has to be classified as a 作者: Insubordinate 時(shí)間: 2025-3-26 02:20 作者: 瑣碎 時(shí)間: 2025-3-26 06:36
Book 2010 are supplied for terms which may be unfamiliar to the novice reader.Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum.Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driv作者: 允許 時(shí)間: 2025-3-26 08:34 作者: nettle 時(shí)間: 2025-3-26 16:10 作者: 哭得清醒了 時(shí)間: 2025-3-26 18:08
Geometric Correspondence-Based Approaches,short introduction of some feature types, which typically are used in correspondence-based matching, two types of algorithms are presented. The first type represents the correspondences in a graph or tree structure, where the topology is explored during matching. The second method, which is called g作者: BANAL 時(shí)間: 2025-3-26 21:16 作者: 凹室 時(shí)間: 2025-3-27 01:25 作者: 逢迎春日 時(shí)間: 2025-3-27 08:09 作者: Thyroid-Gland 時(shí)間: 2025-3-27 11:13 作者: 美色花錢 時(shí)間: 2025-3-27 15:54 作者: 斜谷 時(shí)間: 2025-3-27 20:14 作者: TEM 時(shí)間: 2025-3-27 23:03
Geometric Correspondence-Based Approaches,ognition, e.g., from CAD data of the object shape. Typically, these methods are feature based, meaning that the object is characterized by a limited set of primitives called features. For example, the silhouette of many industrial objects can be modeled by a set of line segments and circular arcs as作者: 衣服 時(shí)間: 2025-3-28 05:52
Three-Dimensional Object Recognition,ts have to be gripped by a robot from an unordered set of objects. Typically, such applications utilize sensor systems which allow for the generation of 3D data and perform matching in 3D space. Another way to determine the 3D pose of an object is to estimate the projection of the object location in作者: Mitigate 時(shí)間: 2025-3-28 06:17
Flexible Shape Matching,to difficulties for deformable objects, specific approaches exist for such types of objects. These methods use parametric curves, which should approximate the object contour as good as possible. The parameters of the curve should offer enough degrees of freedom for accurate approximations. Two types作者: GROSS 時(shí)間: 2025-3-28 12:41
Interest Point Detection and Region Descriptors,ety or the presence of heavy background clutter, occlusion, or varying illumination conditions, etc. These tough demands can be met by a two-stage strategy for the description of the image content: the first step consists of the detection of “interest points” considered to be characteristic. Subsequ作者: 誹謗 時(shí)間: 2025-3-28 16:43 作者: 叢林 時(shí)間: 2025-3-28 22:06
10樓作者: Essential 時(shí)間: 2025-3-29 02:16
10樓
