Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Abstract. For certain problems (for example, computing repetitions and repeats, data compression applications) it is not necessary that the suffixes of a string represented in a su...
Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
In this paper, we address the problem of 3D Model transmission over error-prone channels using multiple description coding (MDC). The objective of MDC is to encode a source into m...
This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition perf...
Lorenzo Granai, Miroslav Hamouz, Jose Rafael Tena,...