This work was supported and funded by the Directorate ASR&TD of UET-Taxila.
Detection and segmentation of defocus blur is a challenging task in digital imaging applications as the blurry images comprise of blur and sharp regions that wrap significant information and require effective methods ...
In this paper,we aim to propose a novel and effective iris segmentation method that is robust to uneven light intensity and different kinds of noises such as occlusion by light spots,eyelashes,eyelids,specta-cle-frame...
supported by National Natural Science Foundation of China(Grant Nos.61561146393 and61521002);supported by a Victoria Early-Career Research Excellence Award。
We propose a novel end-to-end deep learning framework, the Joint Matting Network(JMNet), to automatically generate alpha mattes for human images.We utilize the intrinsic structures of the human body as seen in images ...
supported by the National HighTech R&D Program of China (Project No. 2012AA011903);the National Natural Science Foundation of China (Project No. 61373069);the Research Grant of Beijing Higher Institution Engineering Research Center;Tsinghua–Tencent Joint Laboratory for Internet Innovation Technology
In this paper we present a novel automatic background substitution approach for live video. The objective of background substitution is to extract the foreground from the input video and then combine it with a new bac...
Bayesian Matting has four limitations.Firstly,Bayesian matting makes strong assumption that the texture distribution of nature image satisfies Gaussian distribution with fixed variance.This assumption will fail for co...