Image matting has been used for a long time in the movie industry to combine several picture elements into a final image. Typically an actor or similar is considered the foreground and extracted from the filming environment. The resulting matte is then used to place the foreground onto a different background by applying alpha blending. One of the most common techniques for the matting procedure...

In image matting, several algorithms that produce highquality results have recently been proposed; however, certain parameters have to be manually determined in order to obtain favorable results, which requires significant user effort. In this paper, we propose a method of automatically evaluating alpha mattes based on either of the two criteria: mutual information or correlation coefficient be...

This paper describes a successful application of Matting Laplacian Matrix to the problem of generating high-resolution range images. The Matting Laplacian Matrix in this paper exploits the fact that discontinuities in range and coloring tend to co-align, which enables us to generate high-resolution range image by integrating regular camera image into the range data. Using one registered and pot...

We present a new, simple-to-use and rapid approach to video matting, the process of pulling a highquality alpha matte from a video sequence. Our approach builds upon techniques in natural image matting, namely spectral matting, and optical flow computation. No additional hardware, despite a single camera, is needed, and only very few and intuitive user interactions are required for foreground e...

Despite recent progress in the field of video matting, neither public data sets nor even a generally accepted method of measuring quality has yet emerged. In this paper we present an online benchmark for video-matting methods. Using chroma keying and a reflection-aware stop-motion capturing procedure, we prepared 12 test sequences. Then, using subjective data, we performed extensive comparative...

In this paper, we address the difficult task of moving objects segmentation and matting in dynamic scenes. Toward this end, we propose a new automatic way to integrate a background subtraction (BGS) and an alpha matting technique via a heuristic seeds selection scheme. Specifically, our method can be divided into three main steps. First, we use a novel BGS method as attention mechanisms, genera...

Image matting is the process of taking an image, isolating the foreground, and replacing the background with a new image. This can be a hard problem when the background is unknown as it is fundamentally unconstrained. We look at an existing technique for foreground-background separation called Bayesian matting and improve upon it by adding depth information acquired by a time-of-flight range sc...

[1] A. Levin, D. Lischinski, and Y. Weiss. A closed-form solution to natural image matting. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI), 30(2):0162–8828, 2008. [2] Q. Chen, D. Li, and C.-K. Tang. Knn matting. In Proc. of Computer Vision and Pattern Recognition (CVPR), 2012. [3] E. Shahrian and D. Rajan. Weighted color and texture sample selection for image matti ng. In Proc. of Computer Vis...

Many factors such as production methods and structural parameters have distinctive influence on the quality and performance of a hand woven carpet. To investigate the effects of some variables, eighteen samples of carpet vary, in knot density, pile height and percentage of slipe wool, were manufactured. Pile yarn performance was assessed by using load-displacement compression curve, obtained fr...