Segmentation of echocardiography imagery is central to the understanding, diagnosis, and treatment of cardiovascular disease. Although volumes of literature have been devoted to automated image segmentation, little wo...
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This paper approximates the 3D geometry of a scene by a small number of 3D planes. The method is especially suited to man-made scenes, and only requires two calibrated wide-baseline views as inputs. It relies on the c...
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ISBN:
(纸本)9781467388511
This paper approximates the 3D geometry of a scene by a small number of 3D planes. The method is especially suited to man-made scenes, and only requires two calibrated wide-baseline views as inputs. It relies on the computation of a dense but noisy 3D point cloud, as for example obtained by matching DAISY descriptors [35] between the views. It then segments one of the two reference images, and adopts a multi-model fitting process to assign a 3D plane to each region, when the region is not detected as occluded. A pool of 3D plane hypotheses is first derived from the 3D point cloud, to include planes that reasonably approximate the part of the 3D point cloud observed from each reference view between randomly selected triplets of 3D points. The hypothesis-to-region assignment problem is then formulated as an energy-minimization problem, which simultaneously optimizes an original data-fidelity term, the assignment smoothness over neighboring regions, and the number of assigned planar proxies. The synthesis of intermediate viewpoints demonstrates the effectiveness of our 3D reconstruction, and thereby the relevance of our proposed data fidelity-metric.
The proceedings contain 71 papers. The topics discussed include: language understanding and unified cognitive science;cognitive informatics foundations of nature and machine intelligence;challenges in the design of ad...
ISBN:
(纸本)1424413273
The proceedings contain 71 papers. The topics discussed include: language understanding and unified cognitive science;cognitive informatics foundations of nature and machine intelligence;challenges in the design of adaptive, intelligent, and cognitive systems;a approach to representation changes while executing problem solver intelligent systems;formal linguistics and the deductive grammar;towards a spatial representation for the meta cognitive process layer of cognitive informatics;the visual implications of inspection time;image decomposition and reconstruction using two-dimensional complex-valued Gabor wavelets;cognitive informatics in automatic pattern understanding;a cognitive data visualization method based on hyper surface;and a simple high accuracy approach for face recognition.
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the tra...
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ISBN:
(纸本)9781467388511
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel. Previous methods solve the single image dehazing problem using various patch-based priors. We, on the other hand, propose an algorithm based on a new, non-local prior. The algorithm relies on the assumption that colors of a haze-free image are well approximated by a few hundred distinct colors, that form tight clusters in RGB space. Our key observation is that pixels in a given cluster are often non-local, i.e., they are spread over the entire image plane and are located at different distances from the camera. In the presence of haze these varying distances translate to different transmission coefficients. Therefore, each color cluster in the clear image becomes a line in RGB space, that we term a haze-line. Using these haze-lines, our algorithm recovers both the distance map and the haze-free image. The algorithm is linear in the size of the image, deterministic and requires no training. It performs well on a wide variety of images and is competitive with other stateof-the-art methods.
In this study, we consider an image restoration problem in which the impulse response varies randomly with time (due e. g. to random fluctuations of the system's pupil function) while the object f(x) remains fixed...
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ISBN:
(纸本)0444700684
In this study, we consider an image restoration problem in which the impulse response varies randomly with time (due e. g. to random fluctuations of the system's pupil function) while the object f(x) remains fixed. The recorded image is assumed to be measured in the time interval left bracket O, T right bracket . f is to be estimated assuming that some statistical properties of the stochastic process are known.
In the summer of 2003, using an interactive intelligent tool, over 100 researchers in video understanding annotated from the NIST TRECVID database over 62 hours of news video spanning six months of 1998. These 47K sho...
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This paper describes a part of current research work on an automated cell tracking (ACT) project with the aim of tracking the movement of representative cells in order to determine the activity of the cell once certai...
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Integer wavelet transform based on lifting scheme is a kind of invertible integer to integer transform and can reconstruct original signal simply and accurately. Used this characteristic, reversible image watermark al...
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This study deals with the design of an enhanced self-referencing algorithm for a typical hand-held 3D sensor. The enhancement we propose takes the form of a new algorithm which forms and matches triangles out of the s...
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Many problems in information processing.involve some form of dimensionality reduction. This paper develops a new approach for dimensionality reduction of high dimensional data, called local maximal marginal (interclas...
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