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Autonomous micromanipulation has a great potential to impact every research field concerning objects at a small scale. In this paper, we report our work on detection and tracking of a transparent SU-8 microchip in 3D Cartesian space during micromanipulation. Conditions such as occlusion, variant object orientation and poor edge prominence hinder the implementation of conventional vision algorithms...
In this paper, we provide a method for image labeling by combining the local features and contextual cues in a multiple segmentation framework. Our main insight is to weight the classification results of each image region in different levels, which are obtained by a series of learned discriminative models based on bag of features. The contextual cues are implicitly embedded as feature selection in...
Ray-casting algorithm is usually used in medical volume visualization, but there are a lot of limitations inherent to this algorithm, like high computational demand, low quality images, or a fixed classification. In contrast, real-time high quality volume rendering algorithms are still a challenge nowadays. We introduce here an efficient and accurate volume rendering algorithm for medical images,...
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