Titlebook: Shape Perception in Human and Computer Vision; An Interdisciplinary Sven J. Dickinson,Zygmunt Pizlo Book 2013 Springer-Verlag London 2013 C

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书目名称Shape Perception in Human and Computer Vision影响因子(影响力)




书目名称Shape Perception in Human and Computer Vision影响因子(影响力)学科排名




书目名称Shape Perception in Human and Computer Vision网络公开度




书目名称Shape Perception in Human and Computer Vision网络公开度学科排名




书目名称Shape Perception in Human and Computer Vision被引频次




书目名称Shape Perception in Human and Computer Vision被引频次学科排名




书目名称Shape Perception in Human and Computer Vision年度引用




书目名称Shape Perception in Human and Computer Vision年度引用学科排名




书目名称Shape Perception in Human and Computer Vision读者反馈




书目名称Shape Perception in Human and Computer Vision读者反馈学科排名

沉默

Flux Graphs for 2D Shape Analysis, several graph complexity measures, with little loss in representation power. We conclude the chapter by applying the simplified graph to a view-based object recognition experiment previously arranged for shock graphs. The results suggest that our new simplified graph yields recognition scores very

跑过

Perceptual Organization of Shape,tive model could help to guide local bottom-up grouping mechanisms toward globally consistent solutions. In constructing an appropriate theoretical framework for recurrent shape processing, a central issue is to ensure that shape topology remains invariant under all actions of the feedforward and fe

寄生虫

修剪过的树篱

ADJ

Representing 3D Shape and Location,ereas they are simple to explain if the visual system only computes relevant information once the task is defined. The minimum requirements for a useful visual representation of 3D shape and location do not include internal consistency.

值得尊敬

Joint Registration and Shape Analysis of Curves and Surfaces,ovel mathematical representations, of both curves and surfaces, that reduce shape spaces to standard Hilbert spaces and many of the existing algorithmic tools can be applied. We will illustrate these ideas using examples from shape analysis of curves and surfaces.

Herbivorous

Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Syation processes that construct unified objects across gaps in the input. We relate these efforts to neurally plausible models of interpolation, but note that current versions still lack ways of achieving symbolic codes. We then consider (2) properties that (some) shape representations must have and

conscience

ANNUL