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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...
In the process of actual radar observations, the influence of noise could inevitably generates breakpoint and induces defocusing in the time-frequency image of micro-motion target obtained by narrowband data, which leads to the inaccuracy of micro-motion feature extraction. In this paper, the frequency diversity is utilized in feature extraction of micro-motion time-frequency image. For stepped frequency...
This paper presents a novel 2D-TO-3D conversion approach from a monoscopic 2D image sequence. We propose a particle filter framework for recursive recovery of point-wise depth from feature correspondences matched through image sequences. We formulate a novel 2D dynamics model for recursive depth estimation with the combination of camera model, structure model and translation model. The proposed method...
Point cloud is one of the primitive representations of 3D data nowadays. Despite that much work has been done in 2D image matching, matching 3D points achieved from different perspective or at different time remains to be a challenging problem. This paper proposes a 3D local descriptor based on 3D self-similarities. We not only extend the concept of 2D self-similarity [1] to the 3D space, but also...
This paper presents a new image description and matching process based on internal self-similarity property of images. Various definitions of self-similarity are explored to find the best one for image matching. The method also ensures rotation and scale invariance and computational efficiency through a feature detection process. Experiments demonstrate that the proposed method increases robustness...
This paper describes an unsupervised approach for efficient extraction of grid-structured urban roads from airborne LIDAR data. Technically, the approach consists of three major components: 1) terrain separation from DSM and classification of ground features, 2) road centerline extraction from generated road candidates images, and 3) completion and verification of complete road networks. A ground-height...
In order to eliminate the artifacts caused by transform in NPT watermarking algorithm effectively, we applied the wavelet image fusion to the algorithm based on discrete cosine transform. The quality of the watermarked image is improved remarkably. However, the noise introduced by image combination degrades the constructed watermark. To deal with it, we performed a pre-process of de-noise before extracting...
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...
In order to preserve the texture border structures of the sample, a new texture synthesis method is presented by identifying a set of broad features from the example texture based on HVS. In this approach, the patch copying process is performed in two stages. First an irregularly shaped feature patch is extracted from the example texture. Second, guided by the irregular patch image, different methods...
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