A MAP-MRF based scheme is proposed for simultaneous recovery of the depth and the focus image of a scene from two defocused images. the space-variant blur parameter and the focused image of the scene are both modeled ...
详细信息
A MAP-MRF based scheme is proposed for simultaneous recovery of the depth and the focus image of a scene from two defocused images. the space-variant blur parameter and the focused image of the scene are both modeled as MRFs and their MAP estimates are obtained using simulated annealing. the performance of the proposed scheme is tested on synthetic as well as real data and the estimates of the depth are found to be better than that of existing window-based techniques.
Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. the method is noniterative, local, and simple. It combines gray levels or colors based on boththe...
详细信息
ISBN:
(纸本)8173192219
Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. the method is noniterative, local, and simple. It combines gray levels or colors based on boththeir geometric closeness and their photometric similarity and prefers near values to distant values in both domain and range. In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception. Also, in contrast with standard filtering, bilateral filtering produces no phantom colors along edges in color images, and reduces phantom colors where they appear in the original image.
the objective of this work is to enlarge the class of camera motions for which epipolar geometry and image correspondences can be computed automatically. this facilitates matching between quite disparate views - wide ...
详细信息
ISBN:
(纸本)8173192219
the objective of this work is to enlarge the class of camera motions for which epipolar geometry and image correspondences can be computed automatically. this facilitates matching between quite disparate views - wide baseline stereo. Two extensions are made to the current small baseline algorithms: first, and most importantly, a viewpoint invariant measure is developed for assessing the affinity of corner neighbourhoods over image pairs;second, algorithms are given for generating putative corner matches between image pairs using local homographies. Two novel infrastructure developments are also described: the automatic generation of local homographies, and the combination of possibly conflicting sets of matches prior to RANSAC estimation. the wide baseline matching algorithm is demonstrated on a number of image pairs with varying relative motion, and for different scene types. All processing is automatic.
this paper presents a method for alignment of images acquired by sensors of different modalities the paper has two main contributions: (i) It identifies an appropriate image representation for multi-sensor alignment, ...
详细信息
ISBN:
(纸本)8173192219
this paper presents a method for alignment of images acquired by sensors of different modalities the paper has two main contributions: (i) It identifies an appropriate image representation for multi-sensor alignment, i.e., a representation which emphasizes the common information between the two multi-sensor images, suppresses the, non-common information, and is adequate for coarse-to-fine processing. (ii) It presents a new alignment technique, which applies global estimation to any choice of a local similarity measurer In particular, it is shown that when this registration technique is applied to the chosen image representation with a local-normalized-correlation. similarity measure, it provides a new multi-sensor alignment algorithm which is robust to outliers, and applies to a wide variety of globally complex brightness transformations between the two images. Our proposed image representation does not rely on sparse image features (e.g., edge, contour or point features). It is continuous and does not eliminate the detailed variations within local image regions. Our method naturally extends to coarse-to-fine processing, and applies even in situations when the multi-sensor signals are globally characterized by low statistical correlation.
this paper presents an algorithm for a dense computation of the difference in blur between two images. the two images are acquired by varying the intrinsic parameters of the camera. the image formation system is assum...
详细信息
ISBN:
(纸本)8173192219
this paper presents an algorithm for a dense computation of the difference in blur between two images. the two images are acquired by varying the intrinsic parameters of the camera. the image formation system is assumed to be passive. Estimation of depth from the blur difference is straightforward. the algorithm is based on a local image decomposition technique using the Hes-mite polynomial basis. We show that any coefficient of the Hermite polynomial computed using the more blurred image is a function of the partial derivatives of the other image and the blur difference. Hence, the blur difference can be computed by resolving a system of equations. All computations required are local and carried out in the spatial domain. An algorithm is presented for estimation of the blur in 1D and 2D cases and its behavior is st studied for constant images, step edges, line edges and junctions. the algorithm is tested using synthetic and real images. the results obtained are very encouraging.
the paper describes visual routines based on models of color and shape, as well as crucial issues involving the scheduling of such routines. the visual routines are developed in a unique platform. the view from a car ...
详细信息
the paper describes visual routines based on models of color and shape, as well as crucial issues involving the scheduling of such routines. the visual routines are developed in a unique platform. the view from a car driving in a simulated world is feed into a Datacube pipeline video processor. the use of this simulation provides a flexible environment from which to set crucial imageprocessing parameters of the individual routines. In addition to the simulations, the routines are also tested in similar images generated by driving in the real world, to assure the generalizability of the simulation.
In this paper it is shown hour corresponding conics in two images can be used to estimate the epipolar geometry in terms of the fundamental/essential matrix the corresponding conics can be images of either planar coni...
详细信息
ISBN:
(纸本)8173192219
In this paper it is shown hour corresponding conics in two images can be used to estimate the epipolar geometry in terms of the fundamental/essential matrix the corresponding conics can be images of either planar conics or silhouettes of quadrics. It is shown that one conic correspondence gives two independent constraints on the fundamental matrix: and a method to estimate the fundamental matrix: from at least four corresponding conics is presented. Further more, a new type of fundamental matrix for describing conic correspondences is introduced. Finally, it is shown that the problem of estimating the fundamental matrix from 5 point correspondences and 1 conic correspondence in general has 10 different solutions. A method to calculate these solutions is also given together With an experimental validation.
In automatic production lines the introduction of robots is necessary. External sensors are used to progress from a merely repetitive to a more flexible production process. CCD video cameras may serve as optical senso...
详细信息
this paper presents the object-oriented image retrieval mechanism which provides the content model, the indexing scheme, and the query processing techniques as a whole. three types of image content, i.e., visual featu...
详细信息
Recently there have been increasing interests in using nonlinear PDEs for applications in computervision and imageprocessing, in this paper, we propose a general statistical framework for designing a new class of PD...
详细信息
Recently there have been increasing interests in using nonlinear PDEs for applications in computervision and imageprocessing, in this paper, we propose a general statistical framework for designing a new class of PDEs. For a given application, a Markov random field model p(I) is learned according to the minimax entropy principle studied in [5] [6], so that p(I) should characterize the ensemble of images in our application. p(I) is a Gibbs distribution whose energy terms can be divided into two categories. Subsequently the partial differential equations given by gradient descent on the Gibbs potential are essentially reaction-diffusion equations, where the energy terms in one category produce anisotropic diffusion while the inverted energy terms in the second category produce reaction associated with pattern formation. We call this new class of PDEs the Gibbs Reaction And Diffusion Equations-GRADE and we demonstrate experiments where GRADE are used for texture pattern formation, denoising, image enhancement, and clutter removal.
暂无评论