A measure is developed for comparing complex scenes produced by single-chip digital color cameras. The proposed measure is based on the CIELAB color space with appropriate considerations to the sensitivity of the Human Visual System (HVS) when viewing a complex scene. For comparison purposes, the error measures proposed have been implemented using the , and the recently recommended color differ...

While photographs vividly capture a scene from a single viewpoint, it is our goal to capture a scene in such a way that a viewer can freely move to any viewpoint, just as he or she would in an actual scene. We have built a prototype system to quickly digitize a scene using a laser rangefinder and a high-resolution digital camera that accurately captures a panorama of high-resolution range and c...

This paper introduces several novel Gabor-based local, shape and color features for image classification. First, a new Gabor-HOG (GHOG) descriptor is proposed for image feature extraction by concatenating the Histograms of Oriented Gradients (HOG) of all the local Gabor filtered images. The GHOG descriptor is then further assessed in six different color spaces to measure classification performa...

Auto photo beautification algorithms play important roles of promoting the quality of photograph because of the popularity of digital image production such as digital camera and printer. In this thesis, we develop a pipeline which combines automatic human face beautification and automatic color enhancement. The goal of this thesis is to beautify human faces and enhance the detail and color of t...

This paper addresses the issue of color constancy, which is the the perceptual abi l i ty of the human visual system to assign the same colors to objects under different l ight ing conditions. We propose a method, based on finite-dimensional linear models of reflectance and i l luminat ion, which allows the transformation [R,G,B] images into color constant images. In contrast to previous work, ...

A new color constancy method was recently introduced in [1] using a camera attachment “nose”, which is visible in the image, for spatial measurement of illumination color in the scene. The illumination measurement principle relies on the appearance of highlights or satisfaction of the gray world assumption inside a scene area. However, the nose size was big in the system and its image occupied ...

component of this work in other works must be obtained from the IEEE. Abstract In range sensing with time-multiplexed structured light, there is a trade-oo between accuracy, robustness and the acquisition period. The acquisition period is lower bounded by the product of the number of projection patterns and the time needed for acquiring a single image. In this paper a novel structured light met...

Face detection is no more unbreakably correlated with face recognition. Instead it has been established as an important tool in the framework of many multimedia applications like indexing, scene classification and news summarization. Inspired of the work presented in [l], many face detection algorithms based on skin color characteristics have appeared in the literature. Most of them face genera...

Success in visually searching for a small object or target in a natural scene depends on many factors, including the spatial structure of the scene and the pattern of observers' eye movements. The aim of this study was to determine to what extent local color properties of natural scenes can account for target-detection performance. A computer-controlled high-resolution color monitor was used to...