gesture and motion recognition are needed for a variety of applications. the use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. in particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. in this work, we introduce a 3-...

acquired color deficiency in the tritan axis in parkinson’s disease has already been reported, manifesting itself as impaired performance in various visual tasks. however, its clinical significance has always been controversial. in this study we evaluated the performance of parkinson s disease patients in lanthony 15-desaturated clinical test and for the first time, compared it with the standar...

The performance of artificial vision as a nondestructive technology has been evaluated in monitoring beef meat quality at a storage temperature of 4°C for more than two weeks. A reference method based on bacteriological measurement is performed in parallel with the artificial vision system to analyse the meat samples. Artificial vision data were collected from color image of meat samples in par...

This paper shows how to use the task frame (TF) to easily model, implement and execute 3D robotic tasks, which integrate force control and visual servoing, in an uncalibrated workspace. In contrast to most hybrid vision/force research, this work uses eye-in-hand vision and force control. Mounting both sensors on the same end effector gives rise to new constraints, control issues and advantages,...

In this paper, we apply the synchronous approach to real time active visual reconstruction. It illustrates the adequateness of Signal, a synchronous data ow programming language and environment, for the speciication of a system dealing with various domains such as robot control, computer vision and programmation of hierarchical parallel automaton. More precisely, one application consists in the...

We developed a pixel-parallel image processing algorithm for detecting and tracking temporally modulated light signals for use as optical ID tags. The proposed algorithm requires no wavelength filters and obtains position information on signals at a high frame rate while decoding transmitted data. We implemented the proposed algorithm in a digital vision chip, a pixel-parallel processor embedde...

In this paper, a new pose selection criterion for the kinematic calibration of parallel mechanisms is proposed. It enables one to take into account the measurement noise amplification that may occur for parallel mechanisms, as well as the variation of amplitude and anisotropy of the measuring device accuracy. This new criterion is applied to vision-based calibration of an Orthoglide mechanism, ...

This paper aims to share new knowledge about tensions in establishing a school marketised educational landscape, with special focus on teachers’ experiences of enacting highly profiled vision. The is based single case study using observations, surveys, interviews and document studies. To cover the complex enactment process, we have created multilayered triangle analyse process strategies teache...