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Artificial Intelligence - Latest Articles
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Latest articles for 'Artificial Intelligence'
Articles 1 to 10 of 200:
An overview and performance evaluation of classification-based least squares trained filters.
29 Sep 2008 
An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and individually selected classification methods are proposed. ...
rec_pub_18784026-an-overview-performance-evaluation-classification-based-squares.htm
Variational Bayesian image restoration based on a product of t-distributions image prior.
29 Sep 2008 Image priors based on products have been recognized to offer many advantages because they allow simultaneous enforcement of multiple constraints. However, they are inconvenient for Bayesian inference because it is hard to find their normalization ...
rec_pub_18784028-variational-bayesian-image-restoration-based-product-t-distributions.htm
An example-based face hallucination method for single-frame, low-resolution facial images.
29 Sep 2008 This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The proposed method has been derived from example-based hallucination methods and morphable ...
rec_pub_18784029-an-example-based-face-hallucination-method-single-frame-low.htm
CTex--an adaptive unsupervised segmentation algorithm based on color-texture coherence.
29 Sep 2008 This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. An important contribution of this work consists ...
rec_pub_18784039-ctex-adaptive-unsupervised-segmentation-algorithm-based-color-texture.htm
Minimization of region-scalable fitting energy for image segmentation.
29 Sep 2008 Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity inhomogeneities, we propose a region-based active contour model that ...
rec_pub_18784040-minimization-region-scalable-fitting-energy-image-segmentation.htm
Adaptive pseudo dilation for gestalt edge grouping and contour detection.
29 Sep 2008 We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Therefore, local edge features, which only look at a small ...
rec_pub_18784041-adaptive-pseudo-dilation-gestalt-edge-grouping-contour-detection.htm
A hybrid color and frequency features method for face recognition.
29 Sep 2008 This correspondence presents a novel hybrid Color and Frequency Features (CFF) method for face recognition. The CFF method, which applies an Enhanced Fisher Model (EFM), extracts the complementary frequency features in a new hybrid color space for ...
rec_pub_18784044-a-hybrid-color-frequency-features-method-face-recognition.htm
Coupled object detection and tracking from static cameras and moving vehicles.
27 Sep 2008 We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approach is formulated in a Minimum Description Length hypothesis selection framework, ...
rec_pub_18703824-coupled-object-detection-tracking-static-cameras-moving-vehicles.htm
27 Sep 2008 We present spectral matting: a new approach to natural image matting that automatically computes a basis set of fuzzy matting components from the smallest eigenvectors of a suitably defined Laplacian matrix. Thus, our approach extends spectral ...
rec_pub_18703825-spectral-matting.htm
Pedestrian detection via classification on Riemannian manifolds.
27 Sep 2008 We present a new algorithm to detect pedestrian in still images utilizing covariance matrices as object descriptors. Since the descriptors do not form a vector space, well known machine learning techniques are not well suited to learn the ...
rec_pub_18703826-pedestrian-detection-classification-riemannian-manifolds.htm
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