Displacement map is a modeling technique that creates shape by mapping the height field of the complicated shape feature on the surface of the target shape, which is preferable in describing sophisticated feature details. This paper investigates the techniques for fast creation of the displacement map based on the rich research achievements of shape analysis and digital signal processing. The p...

Edge geometric measurement analysis is an important method of image understanding and portraying the target feature. In this paper, we compress 17 interrelated shape descriptors which are based on edge geometric measure into 6 independent components, and discuss their meanings by using principal component analysis. The analyses in this article provide guidance for the shape feature optimization...

The concept of shape-manifold is applied here to the optimization of a deep drawn blank considering parameterized tool geometries. By adopting this concept, a realistic post-springback shape of the blank closest to a given ideal target shape is obtained. The global approach is fully automated, from the generation of the tool geometries, to the identification of the optimized design parameters. ...

Target discrimination is the key step of automatic target detection (ATR) in synthetic aperture radar (SAR) images. In this paper, a new algorithm for target discrimination in high resolution SAR image is presented by utilizing Zernike moments as descriptors of shape and intensity characteristics which have linear transformation invariance properties. The input regions of interest (ROIs) are se...

Children with and without autism were compared on two visual search tasks in which a letter target appeared among two sets of letter distracters. In one task, the target shared colour with one set of distracters but was unique in shape--the feature search task. In the other, the conjunctive search task, the target shared colour with one set and shape with another set of distracters. Although se...

Does visual search involve a serial inspection of individual items (Feature Integration Theory) or are items grouped and segregated prior to their consideration as a possible target (Attentional Engagement Theory)? For search items defined by motion and shape there is strong support for prior grouping (Kingstone and Bischof, 1999). The present study tested for grouping based on inter-item shape...

We propose a new couplet of identity and view manifolds for multi-view shape modeling that is applied to automated target tracking and recognition (ATR). The identity manifold captures both inter-class and intra-class variability of target shapes, while a hemispherical view manifold is involved to account for the variability of viewpoints. Combining these two manifolds via a non-linear tensor d...

This paper discusses generalized controllers for distance-based rigid formation shape stabilization and aims to provide a unified approach for the convergence analysis. We consider two types of formation control systems according to different characterizations of target formations: minimally rigid target formation and non-minimally rigid target formation. For the former case, we firstly prove t...

Children tend to extend object names on the basis of sameness of shape, rather than size, color, or material-a tendency that has been dubbed the "shape bias." Is the shape bias the result of well-learned associations between words and objects? Or does it exist because of a general belief that shape is a good indicator of object category membership? The present three studies addressed this debat...

Recent techniques enable folding planer sheets to create complex 3D shapes, however, even a small 3D shape can have large 2D unfoldings. The huge dimension of the flattened structure makes fabrication difficult. In this paper, we propose a novel approach for folding a single thick strip into two target shapes: folded 3D shape and stacked shape. The folded shape is an approximation of a complex ...