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Three-dimensional building reconstruction from remote sensing imagery is one of the most difficult and important 3D modeling problems for complex urban environments. The main data sources provided the...
Hand-crafted illustrations are often more effective than photographs for conveying the shape and important features of an object, but they require expertise and time to produce. We describe an image...
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
Purpose: Pedestrian safety systems play an increasing significant role to reduce injuries and fatal casualties caused by accidents. One automotive safety system for pedestrian protection is the bonnet...
This letter proposes a novel method to localize facial shape represented by a series of facial landmarks. In our method, the problem of facial shape localization is formulated with a Bayesian inferenc...
Extracting surface orientation and surface depth from one or more images is one of the classic problems in computer vision. Shape-from-shading (SFS) deals with the recovery of 3-D shape from a single ...
Shape from Silhouettes Based on a Centripetal Pentahedron Model.
In this paper we present a novel volumetric shape from silhouette (SfS) algorithm based on a centripetal pentahedron model (pent-model). The pent-model is an object-centered volumetric model composed ...
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes.With a coupled training set, the in...
通过对由医疗成像设备获取的二维灰度图像进行形状重建,得到的三维立体原型能帮助医学诊断人员确诊病情。介绍了Shape from Shading的实现原理和扫描电镜成像系统的简单构成,提出了一种基于线性逼近的用于解决SEM反射映射函数的实现方法,并将之应用于红血细胞的三维图像重构,得到的细胞图形非常接近其真实形状。
Purpose: Purpose of this paper is to present basic solutions on shape complexity, based on basic information of the STL data.Design/methodology/approach: Paper presents a few methods of mathematically...

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