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Virtual Dimensionality (VD) estimation is a key problem in feature/band selection and spectral mixture analysis of hyperspectral images. In this paper, a Double Subspace Projection (DSubP) based VD estimation algorithm is proposed. The pixel representation and image representation of a hyperspectral image are utilized to generate two subspaces according to the principal component analysis (PCA), respectively...
This paper addresses the generation and visualization of noisy 3D point clouds. The goal is to extract 3D information from image sequences in real-time and to transform the resulting noisy point clouds into a representation with dense surfaces and an intuitive character. Therefore a bridge is built from image sequence analysis to computer graphics. A point cloud is calculated from a single camera...
Motivated by the image rescaling estimation method proposed by Gallagher (2nd Canadian Conf. Computer & Robot Vision, 2005: 65-72), we develop an image rotation angle estimator based on the relations between the rotation angle and the frequencies at which peaks due to interpolation occur in the spectrum of the image's edge map. We then use rescaling/rotation detection and parameter estimation...
In the distributed video coding, side information is involved not only in the decoding of the quantized source, but also in the reconstruction of the images. So the quality of side information takes an important role in the distributed video codec. In this paper, a refined approach to SI extraction is proposed. Based on the high correlation between the motion vectors of adjacent blocks, the motion...
Image mosaicing is an effective means of constructing a single panoramic image from a series of snapshots taken in different viewing angles. However, in the case of congested traffic scenes with a cluttered environment including vehicles or pedestrians, there are severe difficulties in aligning a pair of snapshots. In such cases, some objects would be taken only in one of the image pair, thereby resulting...
In this paper, we propose a novel method for automatic dust and scratch detection and removal in scanned images. The proposed method combines morphological operations with local image analysis that guides adaptive, image dependent perceptual defect thresholding. This allows us to achieve reliable separation of defects and intrinsic image features, and yields high quality image restoration. The method...
In video-based face recognition (FR) applications such as surveillance security, the resolution of a facial image could significantly impact the reliability of recognition system. In most practical FR applications, it is reasonable to assume that the face resolution used during training is higher than the resolution used during the identification or verification process. This dimensional mismatch...
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