In this paper, we present a novel learning-based algorithm to super-resolve multiple partially occluded CCTV lowresolution face images. By integrating hierarchical patchwise alignment and inter-frame constraints into a Bayesian framework, we can probabilistically align multiple input images at different resolutions and recursively infer the high-resolution face image. We address the problem of ...

Far-field face detection is the first step of automatic face recognition in video surveillance. In this paper, we propose a framework on extraction of high-resolution images in video that subjects are far from camera. To guarantee the tradeoff between accuracy and speed, our method uses four techniques including motion detection using Gaussian Mixture Models (GMMs), skin model detection and Ada...

Though the schemes are different, both Horstein’s and Kudryashov’s non-block strategies for communication with feedback over the binary-symmetric channel asymptotically achieve the identical reliability function (error exponent); a function that displays some curious features. For positive rates their reliability function is strictly larger than Burnashev’s and transitions discontinuously at th...

THE MECHANISM OF THOUGHT, IMAGERY AND HALLUCINATION. By Joshua Rosett. Columbia University Press, 1939, pp. x + 289. $3. This contribution to the neurologic literature does not readily lend itself to detailed review. Dr. Rosett has attempted, in a thoughtful and closely reasoned argument, to define the physical basis of subjective behavior or experience in terms of the present knowledge of the ...

Hallucinations are defined as perceptions unrelated to any mpirically observable objects in the environment. On the conrary, negative hallucinations refer to the inability to perceive bjects that are present. The pertinence of the latter experience as recently been put into question by the exploration of cognitive lindness. Cognitive blindness refers to an absence of the concious processing of ...

In this paper, we propose a Bayesian approach to image hallucination. Given a generic low resolution image, we hallucinate a high resolution image using a set of training images. Our work is inspired by recent progress on natural image statistics that the priors of image primitives can be well represented by examples. Specifically, primal sketch priors (e.g., edges, ridges and corners) are cons...