We present in this paper a new method for matching points in stereoscopic color images, based on color diierential invariants involving only rst order derivatives of images. Our method is able to match robustly the images even if they present important transformations like rotation, range of viewpoint and change of intensity between each other. We present here a generalization of a gray level c...

This study proposes a vision model for individual colorimetric observers. The proposed model can be beneficial in many color-critical applications such as color grading and soft proofing to assess ranges of color matches instead of a single average match. We extended the CIE 2006 physiological observer by adding eight additional physiological parameters to model individual color-normal observer...

In the last few decades, dental clinicians face increasing demands and expectations for accurate color matching due to the increasing attention given by the media and patients to esthetic dentistry. Hence, precise color matching has become an even more critical success factor for esthetic restoration. The subjective color perception of an observer leads to variations and unpredictable differenc...

What is the relative salience of different aspects of word meaning in the developing lexicon? The current study examines the time-course of retrieval of semantic and color knowledge associated with words during toddler word recognition: At what point do toddlers orient toward an image of a yellow cup upon hearing color-matching words such as "banana" (typically yellow) relative to unrelated wor...

Only few problems in computer vision have been investigated more vigorously than stereo. Nevertheless, almost all methods use only gray values and most of them are feature-based techniques, i.e., they produce only sparse depth maps. This paper presents an efficient technique for dense stereo correspondence using a new Polychromatic Block Matching. Four different color models (RGB, XYZ, IlI2I 3,...

This paper describes a new approach in color or grey-scale image matching by points of interest. As many point matching methods, this method is based on two main steps : computation of points and descriptors, followed by a matching process. The points of interest are extracted thanks to the color Harris points detector, they are then described using rotating anisotropic half-gaussian derivative...

For most tasks in image sequence analysis, the estimation of optical flow is the primary step towards the final solution. Block matching, which is adopted by many current coding standards, is the most popular method among other approaches. Research in this area mainly focuses on three aspects: matching criteria, searching criteria and the determination of block size. In this paper, we propose a...

In order to improve the matching effect of environmental art color automatic matching, a model based on visual is designed. Firstly, it preprocesses art, then extracts space and its main color, analyzes deviation. At same time, established quantization processed, finally realized. The experimental results show that time proposed less than traditional model, wrong contour less. Research Objectiv...

Estimation of individual spectral cone fundamentals from color-matching functions is a classical and longstanding problem in color science. In this paper we propose a novel method to carry out this estimation based on a linear optimization technique, employing an assumption of a priori knowledge of the retinal absorptance functions. The result is an estimation of the combined lenticular and mac...