Face Spoofing Detection Based on Combining Different Color Space Models

Names for colors vary widely across languages, but color categories are remarkably consistent [1–5]. Shared mechanisms of color perception help explain consistent partitions of visible light into discrete color vocabularies [6–10]. But the mappings from colors to words are not identical across languages, which may reflect communicative needs – how often speakers must refer to objects of different color [11]. Here we quantify the communicative needs of colors in 130 different languages, using a novel inference algorithm. Some regions of color space exhibit 30-fold greater demand for communication than other regions. The regions of greatest demand correlate with the colors of salient objects, including ripe fruits in primate diets. Using the mathematics of compression we predict and empirically test how languages map colors to words, accounting for communicative needs. We also document extensive cultural variation in communicative demands on different regions of color space, which is partly explained by differences in geographic location and local biogeography. This account reconciles opposing theories for universal patterns in color vocabularies, while opening new directions to study cross-cultural variation in the need to communicate different colors.

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Comparative Experiment of Color Reproduction Methods

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1051.967 ◽

2014 ◽

Vol 1051 ◽

pp. 967-970

Author(s):

Qi Jia ◽

Xu Liang Lv ◽

Wei Dong Xu ◽

Jiang Hua Hu ◽

Xian Hui Rong

Keyword(s):

Polynomial Regression ◽

Rapid Development ◽

Color Space ◽

Digital Camera ◽

Color Difference ◽

High Tech ◽

Comparative Experiment ◽

Color Reproduction ◽

Different Color ◽

Time Image

Digital camera which has the advantage of real-time image transferring and easily processing is more and more widely used in the packaging and printing industry with the rapid development of high-tech electronics industry. However, the color in digital camera is not accurate which affect the application. To minimize the color difference between the color in the digital camera and the real color, the color reproduction methods is developing. The field comparative experiment is carried out to compare the performance of color reproduction methods, such as polynomial regression algorithm in different color space, and color checker passport. The results show that fourth order polynomial regression color reproduction in XYZ color space has the best performance.

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Face Spoofing Detection Using Dynamic Texture

Computer Vision - ACCV 2012 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37410-4_13 ◽

2013 ◽

pp. 146-157 ◽

Cited By ~ 17

Author(s):

Jukka Komulainen ◽

Abdenour Hadid ◽

Matti Pietikäinen

Keyword(s):

Dynamic Texture ◽

Spoofing Detection ◽

Face Spoofing

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Performance of Color Cascading Framework on Different Color-Space for Malaria Identification

2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM) ◽

10.1109/cenim.2018.8710903 ◽

2018 ◽

Author(s):

Ari Kusumaningsih ◽

Yonathan Ferry Hendrawan ◽

Cucun Very Angkoso ◽

Rima Tri Wahyuningrum

Keyword(s):

Color Space ◽

Different Color

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Estimation of Fractal Dimension in Different Color Model

International Journal of Knowledge Discovery in Bioinformatics ◽

10.4018/ijkdb.2018010106 ◽

2018 ◽

Vol 8 (1) ◽

pp. 75-93

Author(s):

Sumitra Kisan ◽

Sarojananda Mishra ◽

Ajay Chawda ◽

Sanjay Nayak

Keyword(s):

Fractal Dimension ◽

Color Space ◽

Vital Role ◽

Color Images ◽

Color Spaces ◽

Fractal Surfaces ◽

Test Operation ◽

Novel Method ◽

Rgb Color Space ◽

Different Color

This article describes how the term fractal dimension (FD) plays a vital role in fractal geometry. It is a degree that distinguishes the complexity and the irregularity of fractals, denoting the amount of space filled up. There are many procedures to evaluate the dimension for fractal surfaces, like box count, differential box count, and the improved differential box count method. These methods are basically used for grey scale images. The authors' objective in this article is to estimate the fractal dimension of color images using different color models. The authors have proposed a novel method for the estimation in CMY and HSV color spaces. In order to achieve the result, they performed test operation by taking number of color images in RGB color space. The authors have presented their experimental results and discussed the issues that characterize the approach. At the end, the authors have concluded the article with the analysis of calculated FDs for images with different color space.

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Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut

The Scientific World JOURNAL ◽

10.1155/2014/126025 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 14

Author(s):

Dina Khattab ◽

Hala Mousher Ebied ◽

Ashraf Saad Hussein ◽

Mohamed Fahmy Tolba

Keyword(s):

Image Segmentation ◽

Comparative Study ◽

Color Image ◽

Color Space ◽

User Interaction ◽

Color Image Segmentation ◽

Space Representation ◽

Color Spaces ◽

Different Color ◽

The Comparative Study

This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. GrabCut is considered as one of the semiautomatic image segmentation techniques, since it requires user interaction for the initialization of the segmentation process. The automation of the GrabCut technique is proposed as a modification of the original semiautomatic one in order to eliminate the user interaction. The automatic GrabCut utilizes the unsupervised Orchard and Bouman clustering technique for the initialization phase. Comparisons with the original GrabCut show the efficiency of the proposed automatic technique in terms of segmentation, quality, and accuracy. As no explicit color space is recommended for every segmentation problem, automatic GrabCut is applied withRGB,HSV,CMY,XYZ, andYUVcolor spaces. The comparative study and experimental results using different color images show thatRGBcolor space is the best color space representation for the set of the images used.

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