Titlebook: Segmentation and Recovery of Superquadrics; Aleš Jaklič,Aleš Leonardis,Franc Solina Book 2000 Springer Science+Business Media B.V. 2000 3D

affidavit

书目名称Segmentation and Recovery of Superquadrics影响因子(影响力)




书目名称Segmentation and Recovery of Superquadrics影响因子(影响力)学科排名




书目名称Segmentation and Recovery of Superquadrics网络公开度




书目名称Segmentation and Recovery of Superquadrics网络公开度学科排名




书目名称Segmentation and Recovery of Superquadrics被引频次




书目名称Segmentation and Recovery of Superquadrics被引频次学科排名




书目名称Segmentation and Recovery of Superquadrics年度引用




书目名称Segmentation and Recovery of Superquadrics年度引用学科排名




书目名称Segmentation and Recovery of Superquadrics读者反馈




书目名称Segmentation and Recovery of Superquadrics读者反馈学科排名

minimal

Extensions of Superquadrics,ng require just a few additional parameters in the superquadric equations. Local deformation, in general, overlay the original superquadric with a new parameterization grid which enables local change of shape. Therefore, local deformations are by its nature not tightly integrated with superquadrics

Lament

beta-carotene

Culmination

Carcinogen

Applications of Superquadrics,lling a much felt need for a volumetric representation in conjunction with shape recovery and segmentation. Despite initial reluctance in using superquadrics due to their nonlinear form, they have proven to be the modeling primitives of choice for many applications that require volumetric models. It

极力证明

Conclusions, other tasks which rely on a compact and generic shape description. Among several part-level models that have been proposed in computer vision, generalized cylinders and superquadrics are the two most widely used mo dels.

agitate

Introduction, the intrinsic structure of the imaged scene. Distinct objects in the scene, for example, should have distinct models of themselves in the scene representation. In this way, the labeling of individual entities, necessary for higher level reasoning, becomes possible.

过度

Recovery of Individual Superquadrics,thing present in the input data. They should, however, model reliably those structures in the image that are essential for a given task. It is also important that the recovery method signals when the models are inadequate to describe the data, so that a different type of model can be invoked.

召集