We present a general method for RGB-D data that is able to track arbitrary objects in real-time in challenging real-world scenarios. The method is based on the Condensation algorithm. The observation model consists of a target/background classifier that is boosted from a pool of grayscale, color, and depth features. The training set of the observation model is updated with new examples from tra...

Recent advances in computer vision on the one hand, and imaging technologies on the other hand, have opened up a number of interesting possibilities for robust 3D scene labeling. This paper presents contributions in several directions to improve the state-of-the-art in RGB-D scene labeling. First, we present a novel combination of depth and color features to recognize different object categorie...

The purpose of this paper is to enhance the colored images using the enhancement developed steady state genetic algorithm, SSGA, with modified fitness function to get more accurate result and less noise. In this paper the Hue Saturation Intensity (HSV) color model will be used, after enhance the S, H and V components the transformation will be made to RGB color model. We have developed three mo...

A disordered chiral conglomerate, the random grain boundary (RGB) phase, has been observed below the smectic A liquid crystal phase of an achiral, hockey-stick molecule. In cells, the RGB phase appears dark between crossed polarizers but decrossing the polarizers reveals large left- and right-handed chiral domains with opposite optical rotation. Freeze-fracture transmission electron microscopy ...

I present an algorithm for computationally mixing screen colors (RGB colors) subtractively, written for a general audience. The question it addresses is, “Given two colors specified by their RGB triplets, what RGB triplet should be used to represent the color that would arise if the two colors were mixed like paint colors, i.e., mixed subtractively?” The only way I can think of doing this in a ...

Six different methods for white-balancing digital images were compared in terms of their ability to produce white-balanced colors close to those viewed under a specific viewing illuminant. The six methods were: native camera RGB, XYZ, CAM02, ITU Rec BT.709 RGB, sharpened camera RGB, and illuminant-dependent. 4096 different sets of camera sensitivities were synthesized; 170 objects were evaluate...

H.264/AVC High 4:4:4 Intra/Predictive profiles supports RGB 4:4:4 sequences for high fidelity video. RGB color planes rather than YCbCr color planes are preferred by high-fidelity video applications such as digital cinema, medical imaging, and UHDTV. Several RGB coding tools have therefore been developed to improve the coding efficiency of RGB video. In this paper, we propose a new method to ex...

in the present work the magnitudes of pigments in the synthetic leather, were measured by means of scanner. initially synthetic leather samples pigmented by three different pigments of yellow, blue and red colors were prepared. then the pigmented samples were scanned, and the values of rgb of images were calculated. the artificial neural network (ann) method used to make relation between rgb va...

This paper describes and compares two color spaces – YUV and RGB, taking into account possible human-computer interaction applications. Human perception-oriented properties are compared, including not only file size or bandwidth, but also subjective visibility of artifacts. 1700 tests on a group of 170 people were performed to describe the subjective quality of compressed YUV and RGB images. Th...