Image matting is an important computer vision problem. Many existing methods leverage a hand-made trimap to provide auxiliary information, which expensive and time-consuming for real-world applications. In recent years, some trimap-free have been proposed, completely get rid of any user input. However, their performance lag far behind trimap-based due the ambiguity This paper proposes method th...

Acute hair matting (AHM) is an acquired encountered condition in the medical setting, rarely seen, presenting as an acute sudden solid mass of irreversible matting of scalp hair on the vertex in otherwise healthy individuals due to vigorous shampooing or neglect of hair or parasitic infestations. Subsequently, other factors such as shampoos including herbs, conditioners are claimed to be the cu...

Matting is a useful tool for image and video editing where foreground objects need to be extracted and pasted onto a different background. A matte is represented by α which defines the opacity of a pixel and is a value in [0, 1], with 0 for background (B) pixels and 1 for foreground (F) pixels. There are three main approaches for image matting: In samplingbased approaches, a foreground-backgrou...

We present a new image matting algorithm to extract consistent alpha mattes across sub-images of a light field image. Instead of matting each sub-image individually, our approach utilizes the epipolar plane image (EPI) to construct comprehensive foreground and background sample sets across the sub-images without missing a true sample. The sample sets represent all color variation of foreground ...

We propose an automatic image matting method for portrait images. This method does not need user interaction, which was however essential in most previous approaches. In order to accomplish this goal, a new end-to-end convolutional neural network (CNN) based framework is proposed taking the input of a portrait image. It outputs the matte result. Our method considers not only image semantic pred...

In medical image segmentation, it is difficult to mark ambiguous areas accurately with binary masks, especially when dealing small lesions. Therefore, a challenge for radiologists reach consensus by using masks under the condition of multiple annotations. However, these uncertain may contain anatomical structures that are conducive diagnosis. Uncertainty introduced study situations. Nevertheles...

The development of forgery techniques for multimedia has recently become an important research topic. This paper proposes a new method to construct a tampered image based on the matting approach. Most previous matting techniques focus on the alpha estimation of the source image, since an accurate alpha matte can help with compositing the selected object into a new scene. However, the lighting c...

Obtaining a foreground silhouette across multiple views is one of the fundamental steps in 3D reconstruction. In this paper we present a novel video segmentation approach, to obtain a foreground silhouette, for scenes captured by a wide-baseline camera rig given a sparse manual interaction in a single view. The algorithm is based on trimap propagation, a framework used in video matting. Bayesia...

Most matting researches resort to advanced semantics achieve high-quality alpha mattes, and direct low-level features combination is usually explored complement details. However, we argue that appearance-agnostic integration can only provide biased foreground details mattes require different-level feature aggregation for better pixel-wise opacity perception. In this paper, propose an end-to-end...