In this paper, we present a new low-complexity no-reference metric that assesses the visibility of blocking artifacts in DCT-coded images. The metric works in the spatial domain a...
This paper presents a system for segmentation of images into regions and annotation of these regions for semantic identification of the objects present in the image. The unified me...
Abstract. We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario app...
We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...