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49
Soft scissors: An interactive tool for realtime high quality matting
- in ACM SIGGRAPH
, 2007
"... Figure 1: Our system computes a high quality matte (a) and a novel composite (b) in realtime as the user roughly paints the foreground boundary. Our system makes is easy to create new composites (c) very quickly. We present Soft Scissors, an interactive tool for extracting alpha mattes of foreground ..."
Abstract
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Cited by 47 (3 self)
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of foreground objects in realtime. We recently proposed a novel offline matting algorithm capable of extracting high-quality mattes for complex foreground objects such as furry animals [Wang and Cohen 2007]. In this paper we both improve the quality of our offline algorithm and give it the ability
Video matting of complex scenes
- 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
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Cited by 145 (10 self)
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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
unknown title
"... Abstract. In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled using an energy function as a MRF optimization problem. Second, the energy function combines the gradient of the m ..."
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of the matte, the gradient of the color and statistical sampling together to achieve global optimization. Third, the matte is directly reconstructed by solving energy equations. Experimental results show that our method is efficient to extract high quality mattes for foregrounds with complex natural images. 1
Y.: Nonlocal matting
, 2011
"... This work attempts to considerably reduce the amount of user effort in the natural image matting problem. The key observation is that the nonlocal principle, introduced to denoise images, can be successfully applied to the alpha matte to obtain sparsity in matte representation, and therefore dramati ..."
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Cited by 8 (1 self)
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dramatically reduce the number of pixels a user needs to manually label. We show how to avoid making the user provide redundant and unnecessary input, develop a method for clustering the image pixels for the user to label, and a method to perform high-quality matte extraction. We show that this algorithm
An iterative optimization approach for unified image segmentation and matting
- In ICCV
, 2005
"... Separating a foreground object from the background in a static image involves determining both full and partial pixel coverages, also known as extracting a matte. Previous approaches require the input image to be pre-segmented into three regions: foreground, background and unknown, which is called a ..."
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Cited by 112 (2 self)
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approaches, our method is more efficient to extract high quality mattes for foregrounds with significant semi-transparent regions. 1.
A Closed-Form Solution to Natural Image Matting
- 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 ..."
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Cited by 136 (2 self)
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the properties of the solution by analyzing the eigenvectors of a sparse matrix, closely related to matrices used in spectral image segmentation algorithms. We show that high-quality mattes for natural images may be obtained from a small amount of user input.
A closed form solution to natural image matting
- 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
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Cited by 110 (3 self)
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the properties of the solution by analyzing the eigenvectors of a sparse matrix, closely related to matrices used in spectral image segmentation algorithms. We show that high quality mattes can be obtained on natural images from a small amount of user input. 1.
TWO-PHASE APPROACH FOR MULTI-VIEW OBJECT EXTRACTION
"... In this paper, we propose an automatic method to extract a foreground object captured from multiple viewpoints. We consider the foreground object is within the visual hull of camera field of views. By exploring the multi-view geometric relationship and color measurements of the input images, we can ..."
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estimate the foreground segmentations as well as their fractional boundaries. To facilitate efficient computation and high quality mattes, we adopt a two-phase approach. The first phase of our algorithm provides quick and rough binary segmentations of the foreground object using graph-cut; the second phase
Fuzzymatte: A computationally efficient scheme for interactive matting
- in Proc. of IEEE CVPR
, 2008
"... In this paper, we propose an online interactive matting algorithm, which we call FuzzyMatte. Our framework is based on computing the fuzzy connectedness (FC) [20]from each unknown pixel to the known foreground and background. FC effectively captures the adjacency and similarity between image element ..."
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Cited by 5 (0 self)
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the matte in an online interactive setting and generates high quality matte for complex images. 1.
(a) High-quality video view interpolation using a layered representation
"... Figure 1: A video view interpolation example: (a,c) synchronized frames from two different input cameras and (b) a virtual interpolated view. (d) A depth-matted object from earlier in the sequence is inserted into the video. The ability to interactively control viewpoint while watching a video is an ..."
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segmentation-based stereo algorithm to generate high-quality photoconsistent correspondences across all camera views. Mattes for areas near depth discontinuities are then automatically extracted to reduce artifacts during view synthesis. Finally, a novel temporal two-layer compressed representation
Results 1 - 10
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49