Implementation of BRISK and BRISK-I Algorithm for Feature Detection of Object
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 12 Issue 8, August 2023 | Popularity: 4.8 / 10


     

Implementation of BRISK and BRISK-I Algorithm for Feature Detection of Object

Abhrajeet Basak, Soham Basu, Aishi Kundu, Aditya Banerjee


Abstract: Nowadays, RGB-D cameras offer both color and profundity pictures of the encompassing environment, making them an alluring alternative for automated and vision applications. This work presents the BRISK_I calculation, which productively combines Highlights from Quickened Section Test (Quick) and Double Vigorous Invariant Adaptable Key points (BRISK) strategies. Within the BRISK_I calculation, the key points are identified by the Quick calculation and the area of the key point is refined within the scale and the space. The scale calculate of the key point is specifically computed with the profundity data of the picture. Within the exploration, we have made a nitty gritty comparative examination of the two calculations BRISK and BRISK_I from the perspectives of scaling, turn, point of view and obscure. The BRISK_I calculation combines profundity data and has great calculation execution.


Keywords: RGB-D, BRISK, BRISK_I, algorithm, investigate, intensity centroid, keypoint, descriptor, coordinating score


Edition: Volume 12 Issue 8, August 2023


Pages: 1710 - 1714


DOI: https://www.doi.org/10.21275/MR23731224725



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Abhrajeet Basak, Soham Basu, Aishi Kundu, Aditya Banerjee, "Implementation of BRISK and BRISK-I Algorithm for Feature Detection of Object", International Journal of Science and Research (IJSR), Volume 12 Issue 8, August 2023, pp. 1710-1714, https://www.ijsr.net/getabstract.php?paperid=MR23731224725, DOI: https://www.doi.org/10.21275/MR23731224725

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