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This paper demonstrates, to our best knowledge, the first attempt on gender and ethnicity identification from silhouetted face profiles using a computer vision technique. The results achieved, after testing on 441 images, show that silhouetted face profiles have a lot of information, in particular, for ethnicity identification. Shape context based matching was employed for classification. The test...
In this paper we address the problem of generative object categorization in computer vision. We propose a Bayesian model using hierarchical Dirichlet processes mixing AdaBoost learning. Although previous methods trained HDP model for one or two latent themes, our proposed approach uses small-patch-independent-words of appearance-based descriptor and shape information to train a set of intermediate...
Statistical methods of shape and appearance are powerful tools used in computer vision for near-correct interpretation of images. In this paper, we present a method for classifying facial expressions based on the extracted features of facial components. The face, the window to the inner self of an individual can be analyzed for outright expressions like sadness, happiness, anger, surprise, disgust...
Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious construction process, which has led the community to focus on more easily constructed but less powerful models. With this paper we publish a generative 3D shape...
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this paper, we present a novel problem for establishing correspondences between a sparse set of image features and a previously learned subspace model. We formulate the matching task as an energy minimization, and jointly optimize...
The coarse bounding cage of a dense mesh plays important roles in computer graphics, computer vision, and geometric design. Specifically, in volume-based deformation, a coarse bounding cage is required to manipulate the dense mesh model it enclosed; in subdivision surface fitting, the fitting starts from a coarse cage bounding the fitted dense mesh or point set; and so on. However, the generation...
Service robots in real world environments need to have computer vision capability for detecting a large class of objects. We discuss how freely available 3D model databases can be used to enable robots to know the appearance of a wide variety of objects in human environments with special application to our assistive kitchen. However, the open and free nature of such databases pose problems for example...
Shape-from-shading methods recover 3-D shape from intensity images. Often, Lambertian reflectance is assumed. The Lambertian assumption is attractive because it simplifies the analysis. Alternatively, non-Lambertian reflectance, including specularity, is accommodated in methods that measure reflectance empirically either using a separate calibration object or the target object itself, in self-calibration...
This paper presents a new symmetric shape from shading (SFS) algorithm where the self-ratio image irradiance equation proposed by Zhao and Chellappa is formulated as a partial differential equation (PDE) with a Dirichlet boundary condition. This PDE is solved using the Lax-Friedrichs sweeping method. The potential of the proposed symmetric SFS algorithm is demonstrated by several experiments on synthetic...
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign language recognition or presented some evaluation results. This paper describes a vision-based recognition system that employs both manual and facial features, extracted from the same input image. For facial feature extraction...
This paper presents a framework for the computation of a discrete surface kernel, defined as the set of points from which the whole surface is visible. The first part of the paper exposes the theoretical background related to the kernel computation. In this part we also demonstrate the invariance of the surface kernel to rigid geometric transformations. The second part describes two exploitations...
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shape of the face and its texture (e.g., wrinkles). While the facial age modeling has been widely studied in computer graphics community, only a few studies have been reported in computer vision literature on age-invariant face...
T3D face reconstruction from a single 2D image is mathematically ill-posed. However, to solve ill-posed problems in the area of computer vision, a variety of methods has been proposed; some of the solutions are to estimate latent information or to apply model based approaches. In this paper, we propose a novel method to reconstruct a 3D face from a single 2D face image based on pose estimation and...
In this paper, a kind of object representation model global structure constraint is presented, in which objects are described as constellations of points satisfied with their intrinsic specific global structure constraints. The spatial relations among all the patches of small color variations are extracted as shape model and the representative color information of patches are encoded and clustered...
We present a novel object localization approach based on the global structure constraint model (GSC) and optimal algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching...
The ubiquitous application of eye tracking is precluded by the requirement of dedicated and expensive hardware, such as infrared high definition cameras. Therefore, systems based solely on appearance (i.e. not involving active infrared illumination) are being proposed in literature. However, although these systems are able to successfully locate eyes, their accuracy is significantly lower than commercial...
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