In this paper, we perform double embedding in the quantization index modulation (QIM) framework where a single coefficient is modified twice, using two quantizers, to embed two bi...
We present a novel technique for calibrating displaycamera systems from reflections in the user's eyes. Displaycamera systems enable a range of vision applications that need ...
Fast level set methods replace continuous PDEs by a discrete formulation, improving the execution times. The regularization in fast level set methods was so far handled indirectly...
In this paper, we present a novel method for 3D face recognition using adaboosted geodesic distance features. Firstly, a generic model is finely conformed to each face model conta...
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we intro...
Digital camera sensors are inherently sensitive to the nearinfrared (NIR) part of the light spectrum. In this paper, we propose a general design for color filter arrays that allow...
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
In this paper, we present a method to speed up video encoding of GPU rendered scenes. Modern video codecs, like H.264/AVC, are based on motion compensation and support partitionin...