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Humans have the ability to learn. Having seen an object we can recognise it later. We can do this because our nervous system uses an efficient and robust visual processing and capabilities to learn from sensory input. On the other hand, designing algorithm ...
This work reports on the design, fabrication, and characterization of CMOS pixels for subretinal implants, which seems to be an effective way to recover visual capabilities in some types of blindness. Two possible approaches are presented for CMOS pixel im ...
This paper presents a fast and area-efficient implementation of a real-time stereo vision algorithm for spatial depth mapping. The design combines two well-known area-based approaches to stereo thatching and includes an occlusion detection method. Hardware ...
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We show that we can effectively fit complex animation models to noisy image data. Our approach is based on robust least squares adjustment and takes advantage of three complementary sources of information: stereo data, silhouette edges and 2D feature point ...
We present a virtual digital camera sensor, whose aim is to simulate a real (physical) image capturing sensor.To accomplish this task, the virtual sensor operates in two steps. First, it accepts a physical description of agiven scene and simulates the enti ...
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that register each image with respect to the model and aim at constructing a model of t ...
Polyaniline, which was obtained as a dispersion from a commercial supplier, was used to prepare chemo-resistors. The sensors were prepared in a batch process by spin coating on a wafer with Au interdigitated electrode arrays (IDAs). The gas response behavi ...
