This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresoluti...
Fernando Barrera, Felipe Lumbreras, Angel Domingo ...
: This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images. Fixed decision boundaries (or fixed threshold) classificat...
Yogarajah Pratheepan, Joan Condell, Kevin Curran, ...
In most digital cameras, color images are captured by a sensor overlaid by the Bayer color filter array (CFA). Denoisaicking (joint demosaicking and denoising) consists in reconst...
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
We propose to embed watermarks by modifying the texture mapping information of 3D models rather than modifying the geometry information or texture image as existing works do. We p...
The current standard image-compression approaches rely on fairly simple predictions, using either block- or wavelet-based methods. While many more sophisticated texture-modeling a...
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
Recent research has exploited the multi-homing property (one terminal with multiple network interfaces) of modern devices to improve communication performance in wireless networks...
Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient ...