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In our previous research, we created a database of 3D textured face models of people using stereo images and a generic face mesh model for 3D face recognition application. Consequently, in this paper we make use of this available database and propose an algorithm for synthesizing multiple view 2D facial images of each subject, which extends the number of images used in the training stage of a 2D face...
Dental cast models along with dental identification data have been extensively applied in cephalometric analysis and dental identification. However, the lack of database to handle both dental cast models along with dental identification data has prevent the researchers and dentists from making an access into the dental information for further dental researches. The solution is to create the online...
This paper presents a spatio-temporal 3D gait database and a view independent person identification method from gait. In case that a target changes one's walking direction compared with that in a database, the correct classification rate is reduced due to the appearance change. To deal with this problem, several methods based on a view transformation model, which converts walking images from one direction...
We present a 3D face reconstruction system that takes as input either one single view or several different views. Given a facial image, we first classify the facial pose into one of five predefined poses, then detect two anchor points that are then used to detect a set of predefined facial landmarks. Based on these initial steps, for a single view we apply a warping process using a generic 3D face...
With the technology of Geographic Information System (GIS) as the core and for the goal of establishing the spatio-temporal database of an open pit stope, the process of the strip mine production planning including shelling excavating and casting can be considered as the changed process of 3D geographic-spatial information based on time series, by establishing the spatio-temporal database of stopes,...
This paper describes a similarity retrieval technique for textured 3D models. Various kinds of research have been conducted on similarity retrievals of 3D models since the late 1990's. Although most of the retrieval techniques focus on shape similarity of the 3D models, our technique allows users to retrieve and classify 3D models based on texture pattern similarity. To test our texture similarity...
We present a method for recognizing a vehicle's make and model in a video clip taken from an arbitrary viewpoint. This is an improvement over existing methods which require a front view. In addition, we present a Bayesian approach for establishing accurate correspondences in multiple view geometry. We take a model-based, top-down approach to classify vehicles. First, the vehicle pose is estimated...
The development of street-level geoviewers become recently a very active and challenging research topic. In this context, the detection, representation and classification of windows can be beneficial for the identification of the respective facade. In this paper, a novel method for windows and facade retrieval is presented. This method, based on a similarity of graph of contours, introduces a new...
With recent advances in 3D modeling and scanning technologies, large number of 3D models are created and stored in different databases. This has created an impetus to develop effective 3D shape analysis and 3D shape retrieval algorithms for these domains. This has made the field of 3D shape analysis and retrieval become an active area of research in the 3D community. In this paper we will survey few...
According to recent advances in computer science and engineering, three dimensional (3D) graphical data is of growing interest in many application areas. In this paper, a data management technique is proposed to handle 3D graphical data with the time dimension from a database perspective. Different from the existing works, our technique deals with 3D graphical data in all of the three various aspects:...
This paper presents a new approach to 3D shape comparison and retrieval based on the computation of Gaussian transforms of the surface model on a set of points regularly distributed inside the model's bounding box. A study of the properties of the Gaussian term leads us to an efficient computation of the description. This method is evaluated on the Princeton Shape Benchmark database.
Augmented Virtual Environments (AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualization and comprehension of the dynamic scenes. One of the key issues in creating such systems is to estimate the parameters of each camera including the intrinsic parameters and its pose relative to the 3D model. Nowadays,...
The information about 3D moving geographic objects are changed with the location and time, including the real-time geographic information. More and more people concern the technology of that how to collect, model, store, query, analyze and process spatiotemporal information. This paper proposes a new visualization method based on the improved MOST model, collision detection and terrain matching. The...
A method that flatten surface of 3D model is presented. It can flatten the surface of model into a 2D shape as well as automatically cut and partition. The method avoids global and local self-intersections and minimizes the total length of the introduced seams. Then, a 3D models retrieval methodology based on the shape comparison is proposed. By using the flattened surface, pole mapped version normalization...
Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task point of view, the data can be used for research of computer based automatic face recognition, face expression recognition, face detection, or cognitive and psychological investigation. With the advancement of 3D imaging technologies,...
In this paper, we introduce a new system for profile-based face recognition. The specific scenario involves a driver entering a gated area and using his/her side-view image (the driver remains seated in the vehicle) as identification. The system has two modes: enrollment and identification. In the enrollment mode, 3D face models of subjects are acquired and profiles extracted under different poses...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
This paper describes a method to efficiently search for 3D models in a city-scale database and to compute the camera poses from single query images. The proposed method matches SIFT features (from a single image) to viewpoint invariant patches (VIP) from a 3D model by warping the SIFT features approximately into the orthographic frame of the VIP features. This significantly increases the number of...
In this paper, the problem of person-independent facial expression recognition from 3D facial shapes is investigated. We propose a novel automatic feature selection method based on maximizing the average relative entropy of marginalized class-conditional feature distributions and apply it to a complete pool of candidate features composed of normalized Euclidean distances between 83 facial feature...
This paper proposes a system for 3D facial caricature synthesis in the interactive mode. In our system, three steps are involved: The first step is to construct a 3D facial caricature database involving in head and facial components. The second step is to define the diverse styles for each facial component using clustering method. The last step is to personal caricature designing by replacing various...
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