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A local feature descriptor for image analysis is a tool of interest for many applications. In this paper we propose an in context feature descriptor. An instance of this descriptor corresponding to a specific feature includes information from all other features in the image; it is a feature in context descriptor. This descriptor is thus unique for a feature in an ensemble of features. Many medical...
This paper investigates precise pupil center localization in low-resolution images. Being an essential preprocessing step in many applications such as gaze estimation, face alignment as well as human-computer interaction, robust, precise, and efficient methods are necessary. We present a method for accurate eye center localization operating with images from simple off-the-shelf hardware such as webcams...
In this paper, a novel label inference method encoded with local and global patch priors is introduced for the segmentation of subcortical structures in brain MR images. Due to the serious overlap of intensity profiles among different tissues in brain MR images, the conventional patch prior estimated with similarity measurement can be adversely impacted and become misleading during the final label...
With the unprecedented mobile technology revolution, a number of ocular biometric based personal recognition schemes have been proposed for mobile use cases. The aim of this competition is to evaluate and compare the performance of mobile ocular biometric recognition schemes in visible light on a large scale database (VISOB Dataset ICIP2016 Challenge Version) using standard evaluation methods. Four...
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