Results 281 to 290 of about 66,688 (323)
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Rectangling panoramic images via warping
ACM Transactions on Graphics, 2013Stitched panoramic images mostly have irregular boundaries. Artists and common users generally prefer rectangular boundaries, which can be obtained through cropping or image completion techniques. In this paper, we present a content-aware warping algorithm that generates rectangular images from stitched panoramic images.
Kaiming He, Huiwen Chang, Jian Sun
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Image warping by scanline operations
Computers & Graphics, 1993Abstract Linear spatial image warping operations realized as 2 × 2 matrix multiplications lead to difficult computational problems owing to problems with sampling, resampling, and aliasing. A three-step method is proposed that minimizes these problems. Parallel implementation of the method is discussed. Examples are given.
L.Anne Breene, Jack Bryant
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Inverse image warping without searching
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005For the depth information of desired view is unknown, a per-pixel searching step is often inevitable in methods of inverse image warping. A novel approach is proposed in this paper called "cross-segment algorithm (CSA)". Different from other existing methods, CSA tickles the corresponding problem by solving the equations of crossed segments instead of ...
null Tang Yang +3 more
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Image Warping in Dermatological Image Hair Removal
2014The paper focuses on solving the problem of hair removal in dermatology applications. The proposed hair removal algorithm is based on Gabor filtering and PDE-based image reconstruction. It also includes the edge sharpening stage using a new warping algorithm.
Alexandra Nasonova +5 more
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1994
Several methods for parallel affine image warping on a linear processor array are considered. The methods were implemented on the Carnegie Mellon Warp machine and the Carnegie Mellon-Intel Corporation iWarp computer. Performance figures are provided. Methods studied included systolic, which feed one of the images in a stream; data partitioned, which ...
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Several methods for parallel affine image warping on a linear processor array are considered. The methods were implemented on the Carnegie Mellon Warp machine and the Carnegie Mellon-Intel Corporation iWarp computer. Performance figures are provided. Methods studied included systolic, which feed one of the images in a stream; data partitioned, which ...
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Wave-equation-based image warping
GEOPHYSICS, 2016In seismic processing and reservoir characterization, we often need to measure relative displacements between different realizations of data. Over the years, many methods have been developed using different measures of similarity. Such alignment or warping methods are often effective signal or image processing tools.
Adel Khalil, Henning Hoeber
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Enabling warping on stereoscopic images
ACM Transactions on Graphics, 2012Warping is one of the basic image processing techniques. Directly applying existing monocular image warping techniques to stereoscopic images is problematic as it often introduces vertical disparities and damages the original disparity distribution. In this paper, we show that these problems can be solved by appropriately warping both the disparity map
Yuzhen Niu, Wu-Chi Feng, Feng Liu
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Super-Resolution via Image Warping
2005This chapter focuses on three issues: supporting image warping algorithms for super-resolution, examples of how image warping algorithms impact super-resolution image quality, and the development of quantitative techniques for super-resolution algorithm evaluation.
Terrance E. Boult +2 more
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2D and 3D optimal parallel image warping
[1993] Proceedings Seventh International Parallel Processing Symposium, 1995Spatial image warping is useful for image processing and graphics. The authors present optimal concurrent-read-exclusive-write (CREW) and exclusive-read-exclusive-write (EREW) parallel-random-access-machine (PRAM) algorithms that achieve O(1) asymptotic run time.
C.M. Wittenbrink, A.K. Somani
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Dynamic warping of seismic images
GEOPHYSICS, 2013The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise or for other reasons are not shifted versions of one another. A new solution to this
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