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This paper proposes a vision-based hand posture recognition method. Our method does not require any database but can recognize tiny motion changes of fingers by applying shape decomposition to hand posture recognition.
Due to the recent significant improvements in game entertainment, CAD, CAE and some other 3D fields, the number of 3D models is increasing rapidly. As a result, there is an increasing need for procedures supporting the automatic search for 3D objects in databases. In this paper, we present a novel framework to retrieve 3D models in 3 steps. Firstly, users input multiple ordered images of an object...
In this paper an efficient method for 3D objects indexing and retrieval is presented. It is based on a set of six 2D views extracting using the projection box after a scale and pose normalization of the 3D models using PCA. Afterwards, we binarize each 2D view associated with the 3D object and we extract its external contour that represents its associated 2D shape. The Similarity among the 2D shapes...
In this paper, a 3D Active Shape Model (3DASM) algorithm is presented to automatically locate facial landmarks from different views. The 3DASM is trained by setting different shape and texture parameters of 3D Morphable Model (3DMM). Using 3DMM to synthesize training data offers us two advantages: first, few manual operations are need, except labeling landmarks on the mean face of 3DMM. Second, since...
We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching...
In this paper we propose a novel algorithm for 3D shape searching based on the visual similarity by cutting the object into parts. This method rectify some of the shortcomings of the visual similarity based methods, so that it can better account for objects with deformation, articulation, concave areas, and parts of the object not visible because of self occlusion. As the first step, the 3D objects...
3D information provides a significant improvement in recognition performance over 2D facial image data. However, the existing 3D approaches show limitations dealing with pose variation, e.g., 3D facial surfaces need to be aligned before the match operation. In this paper, an original framework which has the scale, rotation and expression invariance based on geometric invariant feature is proposed...
We describe a face reconstruction framework based on a statistical model that combines shape (2D and height maps), appearance (albedo), and spherical harmonics projection (SHP) information. The framework takes a 2D frontal face image under arbitrary illumination as input and outputs the estimated 3D shape and appearance. Face identification is performed using the shape and albedo coefficients of the...
This paper presents a robust method for synthesizing realistic expressions on 3D human face surfaces captured from frontal photographs with neutral expression. The generated facial expressions could be used to improve the performance of existing face identification systems, or to enhance human recognition. Firstly, the 3D face surface map is recovered using an analysis-by-synthesis approach based...
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