Conventional RF image formation relies on a fixed waveform set that is based largely on obtaining maximum resolution for a given amount of bandwidth present in a waveform. However, the correlation process for a given ...
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Automatic target detection (ATD) systems processimagery to detect and locate targets in imagery in support of a variety of military missions. Accurate prediction of ATD performance would assist in system design and t...
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We present an algorithm for detecting multiple rotational symmetries in natural images. Given an image, its gradient magnitude field is computed, and information from the gradients is spread using a diffusion process ...
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The non-linear diffusion of the method of P. Perona and J. Malik (see ieee Trans. pattern Anal. and Machine Intelligence, ***-12, no.7, p.629-39, 1990; proc. ieeecomput. soc. Workshop on comput. Vision, p.16-22, 1987...
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The non-linear diffusion of the method of P. Perona and J. Malik (see ieee Trans. pattern Anal. and Machine Intelligence, ***-12, no.7, p.629-39, 1990; proc. ieeecomput. soc. Workshop on comput. Vision, p.16-22, 1987) is applied to a contour. Unlike most contour diffusion techniques, the contour is described by the angle variation, and the non-linear diffusion procedure is applied to the contour turning angle. The Perona and Malik model determines how strongly diffusion acts on the original function, and depends on a factor K, estimated automatically. In areas with spatial concentration of strong changes of angle, this factor is also adjusted to reduce the contour small perturbations and noise effects.
We propose algorithms for the location of a known target in a multichannel image, optimal for the multichannel model of the image, and optimal for the noise model of the image. We consider two noise models: Gaussian a...
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ISBN:
(纸本)9539676924
We propose algorithms for the location of a known target in a multichannel image, optimal for the multichannel model of the image, and optimal for the noise model of the image. We consider two noise models: Gaussian additive, and Gaussian non-overlapping. We show on simulations the improvement due to the multichannel model of the image, compared with the monochannel case. For simulations, the multichannel images are color images.
In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bund...
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In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment has a long baseline to ensure accurate 3D reconstruction. To efficiently bundle adjust 3D structures from all segments, we reduce the number of frames in each segment by introducing `virtual key frames'. The virtual frames encode the 3D structure of each segment along with its uncertainty but they form a small subset of the original frames. Our method achieves significant speedup over conventional bundle adjustment methods.
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