Results 1 - 10 of 38

"GrabCut” -- interactive foreground extraction using iterated graph cuts

by Carsten Rother, Vladimir Kolmogorov, Andrew Blake - ACM TRANS. GRAPH , 2004
"... The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently ..."
Abstract - Cited by 1130 (36 self) - Add to MetaCart
of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for “border matting ” has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show

Simultaneous Foreground, Background, and Alpha Estimation for Image Matting

by Brian L. Price, Bryan S. Morse, Scott Cohen
"... Image matting is the process of extracting a soft segmentation of an object in an image as defined by the matting equation. Most current techniques focus largely on computing the alpha values of unknown pixels and treat computation of the foreground and background colors as an afterthought, if at al ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Image matting is the process of extracting a soft segmentation of an object in an image as defined by the matting equation. Most current techniques focus largely on computing the alpha values of unknown pixels and treat computation of the foreground and background colors as an afterthought

IMPROVING ALPHA MATTING AND MOTION BLURRED FOREGROUND ESTIMATION

by Rolf Köhler, Michael Hirsch, Bernhard Schölkopf, Stefan Harmeling
"... We present a new method for separating motion blurred foreground objects from their background given a single image. Previous techniques focused on estimating alpha mattes for separating sharp, non-moving foreground objects from fairly homogeneous background. In those cases the only pixels which are ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
We present a new method for separating motion blurred foreground objects from their background given a single image. Previous techniques focused on estimating alpha mattes for separating sharp, non-moving foreground objects from fairly homogeneous background. In those cases the only pixels which

A Closed-Form Solution to Natural Image Matting

by Anat Levin, Dani Lischinski, Yair Weiss - IEEE TRANS. PAMI , 2008
"... Interactive digital matting, the process of extracting a foreground object from an image based on limited user input, is an important task in image and video editing. From a computer vision perspective, this task is extremely challenging because it is massively ill-posed—at each pixel we must estim ..."
Abstract - Cited by 136 (2 self) - Add to MetaCart
, or perform iterative nonlinear estimation by alternating foreground and background color estimation with alpha estimation. In this paper, we present a closed-form solution to natural image matting. We derive a cost function from local smoothness assumptions on foreground and background colors and show

Video matting of complex scenes

by Yung-yu Chuang, Aseem Agarwala, Brian Curless, David H. Salesin, Richard Szeliski - ACM Trans.Graph , 2002
"... This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon techniques in natural image matting, optical flow computation, and background estimation. User interaction is comprised of garbage ..."
Abstract - Cited by 145 (10 self) - Add to MetaCart
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon techniques in natural image matting, optical flow computation, and background estimation. User interaction is comprised

A closed form solution to natural image matting

by Anat Levin, Dani Lischinski, Yair Weiss - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
"... Interactive digital matting, the process of extracting a foreground object from an image based on limited user input, is an important task in image and video editing. From a computer vision perspective, this task is extremely challenging because it is massively ill-posed — at each pixel we must esti ..."
Abstract - Cited by 110 (3 self) - Add to MetaCart
, or perform iterative nonlinear estimation by alternating foreground and background color estimation with alpha estimation. In this paper we present a closed form solution to natural image matting. We derive a cost function from local smoothness assumptions on foreground and background colors, and show

KNN matting

by Qifeng Chen, Student Member, Dingzeyu Li, Student Member, Chi-keung Tang, Senior Member - In Proc. of CVPR , 2012
"... Abstract—This paper proposes to apply the nonlocal principle to general alpha matting for the simultaneous extraction of multiple image layers; each layer may have disjoint as well as coherent segments typical of foreground mattes in natural image matting. The estimated alphas also satisfy the summa ..."
Abstract - Cited by 17 (1 self) - Add to MetaCart
Abstract—This paper proposes to apply the nonlocal principle to general alpha matting for the simultaneous extraction of multiple image layers; each layer may have disjoint as well as coherent segments typical of foreground mattes in natural image matting. The estimated alphas also satisfy

Confidence-Driven Image Co-matting

by Linbo Wanga, Tianchen Xiaa, Yanwen Guoa, Ligang Liub, Jue Wangc
"... Single image matting, the task of estimating accurate foreground opacity from a given image, is a severely ill-posed and challenging problem. Inspired by recent advances in image co-segmentation, in this paper, we present a novel framework for a new task called co-matting, which aims to simultaneous ..."
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to simultaneously extract alpha mattes in multiple images that contain slightly-deformed instances of the same foreground object against different backgrounds. Our system first generates trimaps for input images using co-segmentation, and an initial alpha matte for each image using single image matting. Each alpha

Optimized color sampling for robust matting

by Jue Wang, Michael F. Cohen - In In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition , 2007
"... Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixture of foreground and background. Matting is inher-ently an ill-posed problem. Previous matting approaches either use naive c ..."
Abstract - Cited by 75 (5 self) - Add to MetaCart
Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixture of foreground and background. Matting is inher-ently an ill-posed problem. Previous matting approaches either use naive

Digital Matting

by Digital Matting, Olivier Juan, Renaud Keriven, Digital Matting, Olivier Juan, Renaud Keriven , 2004
"... Digital matting consists in extracting a foreground element from a background image. Besides the image, usual matting methods need to be initialized with two disjoint regions : the set of foreground only pixels and the set of background only pixels. Pixels belonging to none of these two regions are ..."
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Digital matting consists in extracting a foreground element from a background image. Besides the image, usual matting methods need to be initialized with two disjoint regions : the set of foreground only pixels and the set of background only pixels. Pixels belonging to none of these two regions
Results 1 - 10 of 38