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Due to the various factors like expression, pose, illumination and accessory variation etc., human face seem different in multiple occasions. To determine the efficiency of the different face recognition algorithms, it requires benchmark face images. In this paper, we presented a comprehensive study of the available 2D face databases and also introduces the creation of a visual face database, Xinjiang...
This paper addresses the problem of fine tuning thresholds of a color difference method for green screen matting. The conventional color difference method uses two thresholds to control a result matte. However, the thresholds are applied to all pixels in an image which sometimes present structures in the image. In order to provide a flexibility to control each group of pixels that have the same property...
A large number of face recognition algorithms have been developed in last decades. Over the past four decades, performance of Face Recognition on frontal faces in controlled environment has improved significantly but frontal faces with uncontrolled environment and expression remains a challenge. The GBU Based Face Recognition Techniques focuses on the attention of the fundamental problem of comparing...
In the field of SAR, the projector-camera system has been well studied; its radiometric model can be easily described by a color mixing matrix. Many SAR applications have proposed and created by using this model. However, this model can be used for reflectance component, but not for fluorescence component. In this paper, we propose RKS Projector-Camera response model for separating of the color mixing...
Segmentation of text on traffic panels has shown great importance. Detection and recognition of traffic panels text is still a challenge in computer vision due to its different types and hug asymmetric information. This paper proposed a method to detect roadside traffic panels and extract the information on them. In the first stage, blue, white and green color segmentation and structure classification...
For the dermoscopy image, uneven illumination will influence segmentation accuracy and lead to wrong aided diagnosis result. In this paper, an uneven illumination removal method based on deep learning is proposed for dermoscopy images. Different from the traditional Retinex based methods, which estimate the illumination component using statistical methods to obtain the reflectance component of the...
Person re-identification is one of the hot topics in computer vision. How to design a robust feature representation to identify pedestrians is a key problem for person re-identification. In this paper, a feature representation based on Multi-Statistics Cascade on Pyramid (MSCP) is proposed for person re-identification. The MSCP feature is composed of deep PCA network feature and hand-crafted features...
Underwater images suffer from severe perceptual/visual degradation, due to the dense and non-uniform medium, causing scattering and attenuation of the propagated light that is sensed. Typical restoration methods rely on the popular Dark Channel Prior to estimate the light attenuation factor, and subtract the back-scattered light influence to invert the underwater imaging model. However, as a consequence...
In this paper, we present a reflectance-aware optical flow technique for nonrigidly aligning images captured in different lighting environments. We consider alignment between two specific lighting conditions of particular relevance to object capture using a light stage. The technique uses optical flow combined with three image transformation functions, namely a) the Illumination-Independent image...
The color constancy problem is addressed by structured-output regression on the values of the fully-connected layers of a convolutional neural network. The AlexNet and the VGG are considered and VGG slightly outperformed AlexNet. Best results were obtained with the first fully-connected “fc6” layer and with multi-output support vector regression. Experiments on the SFU Color Checker and Indoor Dataset...
A novel approach for fast iris recognition on mobile devices is presented in this paper. Its key features are: (i) the use of a combination of classifiers exploiting the iris colour and texture information; (ii) its limited computational time, particularly suitable for fast identity checking on mobile devices; (iii) the high parallelism of the code, making this approach also appropriate for identity...
Person re-identification is a fundamental challenging task in Computer Vision that consists on recognizing the same person across multiple potentially non-overlapping cameras. This importance is due to the important challenges that it proposes like pose, background clutter and occlusion, illumination changes and low resolution. Also, most of the existing approaches rely on brute-force matching between...
Traffic panels contain rich text and symbolic information for transportation and scene understanding. Fast detection of traffic panels facilitates text information extraction but has been paid little attention by the community. In this paper, we propose a fast and robust approach for rectangular traffic panel detection from traffic scene images. Considering the rectangular shape of traffic panels,...
In today's competitive markets, industries have to focus on quality of their products to retain their competitive edge. Automatic Optical Inspection (AOI) or Automated Visual Inspection (AVI) is one commonly used tool used in the industry for quality control and monitoring. In high speed mass production units, the inspection time available for each product is small and it becomes a critical design...
In this paper, we investigate the problem of the joint transceiver and offset design (JTOD) for the multiple-input-multiple-output (MIMO) multi-color visible light communication (VLC) systems. The shot noise induced by the incoming signals is considered, leading to a new MIMO VLC channel model. Under key lighting constraints, we formulate non-convex optimization problems aiming at minimizing the sum...
This paper presents a novel stereo matching algorithm that utilizes the disparity variations of each pixel by cost formulation in a cooperative manner to solve several stereo disambiguation problems. A completely novel Stereo Orthogonal Feature-mapping transform (SOFT) has been proposed to compute the local as well as semi-global stereo matching cost that involves the extraction of the color information...
Tongue fur is an important objective basis for clinical diagnosis and treatment in western medicine and tongue diagnosis for Chinese medicine. Given the high penetration and built-in sensors of smartphones, and the need for continuous monitoring of health conditions, we propose an automatic tongue diagnosis framework on smartphone. However, tongue images taken by smartphone are quite different in...
We started with an artistic rendering of face, and created a 3Dimensional mesh of the face which can be used in Games, Media, and Virtual Reality applications. We used freely available software called Blender™ to create a 3D mesh which resembles the original 2Dimensional drawing. This paper explains how the 3D face was created, and our efforts in finding just the right effect to create 3D Mesh, closely...
In this paper, we present a novel multi-photo-based framework to solve a self-portrait enhancement problem we call “1+2 problem”, in which a self-portrait photo is enhanced with the help of two multiple photos that share the same scene and similar shooting time. The key idea is to exploit the extra information of these two photos to overcome the limited field of view and poor illumination of the target...
Acquiring the light transport (LT) of a scene is important for various applications such as radiometric analysis, image-based relighting, and controlling appearance of the scene. The multispectral LT, i.e. the LT in multiple primary colors enables us not only to enhance the color gamut but also to investigate wavelength-dependent interactions between light and a scene. In this paper, we propose a...
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