3D model segmentation avails to skeleton extraction, shape partial matching, shape correspondence, texture mapping, shape deformation, and shape annotation. Many excellent solutions have been proposed in the last decade. How to efficiently evaluate these methods and impartially compare their performances are important issues. Since the Princeton segmentation benchmark has been proposed, their f...

This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single image is performed by recovering the shape and textures parameters of a 3D Morphable Model in an analysis-by-synthesis fashion. The shape parameters are computed from a shape error estimated by optical flow and the texture para...

We propose a novel approach to language identification in document images containing handwriting and machine printed text using image descriptors constructed from a codebook of shape features. We encode local text structures using scale and rotation invariant codewords, each representing a characteristic shape feature that is generic enough to appear repeatably. We learn a concise, structurally...

Two-dimensional visual code markers display bit-encoded information about nearby objects. To aid computer vision systems in extracting the bit patterns from images containing one or more markers, we developed a shape-based algorithm for detecting marker locations and orientations in order to identify the markers’ bit patterns. We show that the algorithm can correctly identify all bits for 12 tr...

The paper aims at proposing the first shape identification and classification algorithm in echolocation. The approach is based on first extracting geometric features from the reflected waves and then matching them with precomputed ones associated with a dictionary of targets. The construction of such frequency-dependent shape descriptors is based on some important properties of the scattering c...

This paper proposes an automatic visual inspection scheme with phase identification of microdrill bits in printed circuit board (PCB) production. Our method mainly includes two procedures: firstly the statistical shape models of microdrill bit is built to get the shape subspace, and then the phase identification is performed in the shape subspace using some pattern recognition techniques. In th...

Shapes are a concise way to describe temporal variable behaviors. Some commonly used shapes are spikes, sinks, rises, and drops. A spike describes a set of variable values that rapidly increase, then immediately rapidly decrease. The variable may be the value of a stock or a person’s blood sugar levels. Shapes are abstract. Details such as the height of spike or its rate increase, are lost in t...

The main goal of this work is to discuss a controllability approach to the image matching/shape identification problem, an important issue in many applications, medical ones in particular. The matching problem is formulated as an approximate controllability problem involving a cost functional whose gradient is computed using an adjoint equation based methodology. The time discrete version of th...

In the framework of collection and identification of fungi of Zagros mountains (W and SW Iran), specimens of agaric fungi with subterraneandevelopment were collected from oak forests in Chaharmahal-va-Bakhtiari province. Native people of Dopolan and Rahimabad used hypogeous fruit-bodies of fungus as edible fungi. Excavation was done and fungal samples were found at 15–30 cm soil depth, near Oak...

This article presents a theory of selective attention that is intended to account for the identification of a visual shape in a cluttered display. The selected area of attention is assumed to be controlled by a filter that operates on the location information in a display. The location information selected by the filter in turn determines the feature information that is to be identified. Change...