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This article develops a set space visual servoing method that is quiet different from state-of-the-art approaches. Our approach does not require complex image processing techniques for the extraction, matching and tracking of image features. Instead, it only requires a simple matching algorithm and builds visual errors in set space. Each error is mainly related to one degree of freedom of the camera;...
Fastener assembly is a tedious and time-consuming work because operators have to check assembly manuals and find right fastener for each hole. Hence, this paper aims to develop a three-dimensional (3-D) projection system that projects assembly instruction onto the work piece surface directly to guide operators to assemble. However, in order to project the instruction accurately, the corresponding...
An object often has many distinct manifestations in computer vision, which brings a great challenge to utilizing more comprehensive information. Inspired by some biological researches about edge sensitivity and global structure priority, our key insight is to establish unified transfer classification network with shared contour information. Combining two convolutional networks with three cascaded...
Some weaknesses of particle filtering has been have been identified from an application perspective. This paper proposes a trial approach to tackle the problems of exceeding number of particles required for sampling, low particle efficiency, and compromised particle diversity resulting from resampling. The method combines particle filtering with Mean-shift, which is used to further optimize the sampled...
An effective method for traffic sign segmentation is proposed. Through the selection of appropriate characteristic operator on the basis of the distinctive color features of traffic sign, it first quickly obtains gray image of chromatic aberration. Then, the Otsu's thresholding algorithm is subsequently applied to locate accurately the candidate regions of the traffic sign. The experimental result...
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