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A novel framework referred to as visual vocabulary labeling is proposed for 3D object retrieval. It aims at localizing the visual semantics to 3d object with textual modalities. Two main processes are included in the presented framework. One is automatic labeling from 3D object to visual vocabulary. The other is visual vocabulary based retrieval with relevance feedback. The probabilistic model and...
A video activity analysis is presented based on 3D wavelet transform. Marginal and joint statistics as well as mutual information estimates are extracted. Marginal histograms are approximated by generalized Gaussian density (GGD) functions. The mutual information between coefficients -as a quantitative estimate of joint statistics- decreases when the activity in the video increases. The relationship...
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a ldquoblack boxrdquo to the user: Queries are specified by sample images, but the features which the CBIR system actually uses are unknown to the user. Hence, unexpected results are difficult to interpret. The problem becomes worse for inexperienced...
This paper describes a simple and efficient means for statistical detection of global and local mirror symmetry. The symmetry planes are selected from all the planes obtained after matching and pairing features extracted on 3D meshes. The original part of the proposed method is the way to extract significant symmetry planes with a 3D Hough transform built from the planes parameters. This method generates...
Case based reasoning(CBR) is becoming widely used in computer aided process planning system. It requires a mechanism for retrieval of similar parts from a case database which in turn requires a method for case similarity measurement. This paper presents a new approach of stamped metal parts retrieval, which is based on the multi-feature combination and user's feedback. The stamped metal parts information...
The ability to handle multi-view facial expressions is important for computers to understand affective behavior under less constrained environment. However, most of existing methods for facial expression recognition are based on the near-frontal view face data, which are likely to fail in the non-frontal facial expression analysis. In this paper, we conduct an investigation on analyzing multi-view...
A framework for automatic human head pose estimation from single view images is proposed. The 6DOF head pose was estimated using pose from orthography and scaling with iterations (POSIT) where a statistical anthropometric 3D rigid model is used as an approximation of the human head, combined with active appearance models (AAM) for facial features extraction and tracking. The overall performance of...
In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views into a consistent global model. Given a collection of noisy point clouds, our algorithm estimates a set of robust 16D features which describe the geometry of each point locally. By analyzing the persistence of the features at different scales, we extract an optimal set which...
Novel feature extraction methods for 3D image are considered. The method for 3D image feature extraction of surface is proposed. The advantages of the method are shown.
This paper presents a novel and efficient surface matching and visualization framework through the geodesic distance-weighted shape vector image diffusion. Based on conformal geometry, our approach can uniquely map a 3D surface to a canonical rectangular domain and encode the shape characteristics (e.g., mean curvatures and conformal factors) of the surface in the 2D domain to construct a geodesic...
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