-This paper presents a new scheme for character detection and segmentation from natural scene images. In the detection stage, stroke edge is employed to detect possible text regions, and some geometrical features are used to filter out obvious non-text regions. Moreover, in order to combine unary properties with pairwise features into one framework, a graph model of candidate text regions is se...

Scene text contains significant and beneficial information. Extraction and localization of scene text is used in many applications. In this paper, we propose a connected component based method to extract text from natural images. The proposed method uses color space processing. Histogram analysis and geometrical properties are used for edge detection. Character recognition is done through OCR w...

Observers can generally make reliable judgments of surface color in natural scenes despite changes in an illuminant that is out of view. This ability has sometimes been attributed to observers' estimating the spectral properties of the illuminant in order to compensate for its effects. To test this hypothesis, two surface-color-matching experiments were performed with images of natural scenes o...

Display and representation of real world scenes in three dimensions (3D) is a useful tool for facilitating visualization and scientific measurements. Light detection and ranging (LiDAR) allows scenes to be captured and represented in laser intensity as a set of 3D points (point cloud) with high spatial accuracy. Taking pictures with even a modest camera allows scenes to be displayed as high-res...

Different digital cameras have different spectral sensitivities and opto-electronic conversion functions (OECF’s), and therefore produce different data about the same scene. Correct interpretation of the data requires that it be presented in some sort of standard form. The most rigorous way to do this is to provide the raw data along with the camera color channel OECF’s and spectral sensitiviti...

Where observers concentrate their gaze during visual search depends on several factors. The aim here was to determine how much of the variance in observers' fixations in natural scenes can be explained by local scene color and how that variance is related to viewing bias. Fixation data were taken from an experiment in which observers searched images of 20 natural rural and urban scenes for a sm...

For more efficient organizing, browsing, and retrieving digital video content, it is important to extract video structure information at both scene and shot levels. This paper presents an effective approach to video scene segmentation based on a pseudo-object-based shot correlation analysis. A new measure of the semantic correlation of consecutive shots based on dominant color grouping and trac...