JACIII Vol.22 No.3 pp. 323-332
doi: 10.20965/jaciii.2018.p0323


Triangular Similarities of Facial Features to Determine: The Relationships Among Family Members

Ravi Kumar Y. B.* and C. K. Narayanappa**

*Visveswaraya Technological University, Belagavi
Sri Chamundeshwari Amma Nilaya Dno 514, Behind Telephone Exchange Yelwala, Mysore, Karnataka 571130, India

**M.S. Ramaiah Institute of Technology
M S R Nagar, Bengaluru, Karnataka 560054, India

June 25, 2017
February 27, 2018
May 20, 2018
patterns of intensities, triangular similarity, areas of triangles, facial similarity

An image can be represented in the form of patterns of intensities, with the objects of an image appearing in the form of a pattern on an X-Y plane. The two patterns of intensities of two corresponding facial images are measured by calculating the areas of right triangles formed from patterns in a Cartesian coordinate system. The purpose of representing patterns of intensities in the Cartesian coordinate system is to measure the percentage of similarities that exists between two facial images, similarities inherent in photographs. The percentage is measured by incorporating the proposed technique of areas that are common between two patterns of intensities. The pattern 1 produces areas of right triangles of a parent with respect to areas of right triangles of a child. The strategy of measuring the facial similarities between two patterns of intensities is dependent on the areas of pattern 1 that have commonalities with the areas of pattern 2. This helps in the measuring of the facial similarities between two patterns of intensities. The proposed method has yielded results of 71.3, 77.1, 71.3, and 70.5 percent of similarity on the dataset KinfaceW-I and 80.7, 82.1, 80.6, 81.1 on the dataset KinfaceW-II.

TFE-FSR technique for measuring the percentage

TFE-FSR technique for measuring the percentage

Cite this article as:
Ravi Kumar Y. B. and C. Narayanappa, “Triangular Similarities of Facial Features to Determine: The Relationships Among Family Members,” J. Adv. Comput. Intell. Intell. Inform., Vol.22 No.3, pp. 323-332, 2018.
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