For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a novel approach to model learning and real-time tracking. We extract multi-resolution 3D shape and texture representations from RGB-D images at high frame-rates. An efficient variant of the iterative closest points algo...

Color information recognition methods based on the RGB color model, which is designed on the basis of static fuzzy inference rules, are being widely used at present. However, these methods have certain limitations because of the nature of the model used: detachment of human vision and limited choice of environment. In this paper, we propose a method based on the HSI model and a new inference pr...

This paper describes the land use classification of multispectral digital aerial images, the removal of buildings from the digital surface model and the visualization of the textured digital surface model with reconstructed buildings. The proposed approach applies spectral classification techniques to multispectral digital aerial images with RGB and NIR channels. The results of the land use cla...

This paper presents current approaches for robotic garment foldingoriented 3D deformable object perception and manipulation. A major portion of these approaches are based on 3D perception algorithms that match garments to a model, and are thus model-based. They require a full view of an extended garment, in order to then apply a preprogrammed folding sequence. Other approaches are based on 3D m...

in this study, the trace amounts of erythrosine, as a food dye is determined by cloud point extraction-scanometry (cpe-scanometry) as a new, facile, available, fast, sensitive, and low cost method. the method is based on the cpe of analyte from aqueous solution, diluting the extracted surfactant-rich phase with ethanol, transfer to plexiglas®cell and scanning the cells containing the analyte so...

This work presents validation measures for the optimization of RGB color data encoding. Various RGB specifications had been promoted in the past for standard use in imaging, most of them adapted to application or equipment specific requirements. Although some, as sRGB for instance, are already widely used, none of them has been accepted yet as a universal standard. All of them are subject to li...

“ b h o f t M d c 0 o t t p t d t d bstract. The Yule–Nielsen modified spectral Neugebauer model YNSN) enhanced for accounting for ink spreading in the different nk superposition conditions requires a spectrophotometer to meaure the reflectances of halftone calibration patches in order to comute the ink spreading curves mapping nominal ink surface coverge to effective ink surface coverage. Inst...

Image segmentation is to divide the image into disjoint homogenous regions or classes, where all the pixels in the same class must have some common characteristics. In this paper, a new algorithm proposed to segment regions in an image, which is based on determining seed regions in an image. The algorithm applied on images of different complexity. The segmentation applied on each band of the RG...

Q1. What do you mean by computer graphics? Ans. The branch of science and technology concerned with methods and techniques for converting data to or from visual presentation using computers. Q3.What do you mean by interactive computer Graphics? Ans. Interactive computer Graphics like a website, it is only useful if it is browsed by a visitor and no two visitors are exactly alike. It means the w...

This paper presents an IF1F2 color space for describing colors in microscopic images. Unlike the classical color spaces that treat the R, G, and B (RGB) components of a pixel’s color as independent elements, the proposed color space treats RGB as a sampled spectral signal, called a RGB signal. Then, based on the Fourier spectrum analysis of the RGB signal, the 1-D discrete Fourier transform is ...