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As laser scanners become widely used in 3D data acquisition of industrial sites, one challenging problem emerges: given two data of the same site scanned/modeled at different times, how can we tell the difference between the two? In this paper, we formulate this problem as the 3D change detection problem, and propose a novel method for detecting object-level changes. In general, we notice that the...
This paper focuses on detecting parts in laser-scanned data of a cluttered industrial scene. To achieve the goal, we propose a robust object detection system based on segmentation and matching, as well as an adaptive segmentation algorithm and an efficient pose extraction algorithm based on correspondence filtering. We also propose an overlapping-based criterion that exploits more information of the...
Data mining is a strategic tool that is very difficult for common users to do without special training. Costs will be great to employ specialized people to do the data mining work. In order to resolve this problem, this paper proposes a framework of an automated data mining system based on intelligent agents.
With the rapid development of network, some novel applications like remote database access, electric commerce, etc. bring forth many new requirements for network loads, network communication efficiency and network security. This paper adopts mobile agent technology to achieve remote access to databases. Compared to the traditional C/S computing model, this method can significantly improve the communication...
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone. The proposed system models each fall or noise segment by means of a Gaussian mixture model (GMM) supervector, whose Euclidean distance measures the pairwise difference between audio segments. A support vector machine built...
This paper focuses on the rotation noise of iris recognition. Current iris recognition systems are unable to deal with the rotation noise perfectly. We propose a novel method for iris matching that decompose iris picture into wavelet subband coefficients via 16 non-separable wavelet filters, and use generalized Gaussian density (GGD) modeling of each non-separable orthogonal wavelet coefficients as...
This paper makes an attempt to analyze the local feature structure of iris texture information based on the barycenter distance of new non-separable wavelet. When preprocessed, the annular iris is normalized into a rectangular block. Several non-separable wavelet filters are used to capture the iris texture. In every filtered subband coefficients, we extract a certain number of largest positive coefficients...
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