This paper proposes a new concept for image recognition and understanding whereby both overall and local image processing are executed in parallel. Using this concept, we have developed an advanced vision processor that can recognize moving objects and handle moving pictures. The vision processor cames out feature extraction for image recognition by means of several local processors in parallel...

This article investigates coordination stability when 2 fingers of each hand periodically tap together. The main question concerns the functional origin of the symmetry tendency, which has widely been conceived as a bias toward coactivation of homologous fingers and homologous muscular portions. In Experiment 1, the symmetry tendency was independent of finger combination. In Experiment 2, virtu...

development of an application performing connected component labelling on digital video streams. In this paper, we assess the applicability of the skeleton-based approach to portable parallel pro2 ~ l ~ ~ ~ i t h ~ i ~ skele ons gramming within the vision application domain. Four algorithmic skeletons for low and intermediate level image processing are proposed. For each skeleton we give an arc...

In this paper, we give a novel insight into studying the low level vision. We attack low level problems by parallel information-based complexity techniques. Here we only study the visual surface reconstruction. We obtain tight bounds on the complexity, considered as a function of two variables simultaneously: the number of processors, the required precision. This result seems to be new even in ...

This study aimed to develop a novel 3D parallel mechanism robot driven by three vertical-axial pneumatic actuators with a stereo vision system for path tracking control. The mechanical system and the control system are the primary novel parts for developing a 3D parallel mechanism robot. In the mechanical system, a 3D parallel mechanism robot contains three serial chains, a fixed base, a movabl...

This paper presents and evaluates the concept and implementation of two distinct multisensor systems for the automated manufacturing based on parallel hardware. In the most sophisticated implementation, 12 processors had been integrated in a parallel multi-sensor system. Some specialized nodes implement an Artificial Neural Network, used to improve photogrammetry-based computer vision, and Fuzz...

Matrix factorization (MF) plays a key role in many applications such as recommender systems and computer vision, but MF may take long running time for handling large matrices commonly seen in the big data era. Many parallel techniques have been proposed to reduce the running time, but few parallel MF packages are available. Therefore, we present an open source library, LIBMF, based on recent ad...

In real world scenarios, guiding vision to focus on salient parts of the visual space is a computationally demanding tasks. Selective attention is a biologically inspired strategy to cope with this problem, that can be used in engineered systems with limited resources. In active vision systems however, the stringent realtime requirements limit the space of solutions that can be achieved with co...

The use of mathematical morphology in lowand mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in color images. These techniques have shown to be useful in image enhancement, segmentation, and analysis. In this paper, we develop and test scalable parallel algorithms necessary to implement a class of m...

Corticogeniculate neurones make more synapses in the lateral geniculate nucleus (LGN) than retinal ganglion cells, yet we know relatively little about the functions of corticogeniculate feedback for visual processing. In primates, feedforward projections from the retina to the LGN and from the LGN to primary visual cortex are organized into anatomically and physiologically distinct parallel pat...