M. Zeeshan Sarwar1, Mohammed Hamad Alatiyyah2, Ahmad Jalal1, Mohammad Shorfuzzaman3, Nawal Alsufyani3, Jeongmin Park4,*
CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 959-976, 2023, DOI:10.32604/cmc.2023.035442
Abstract In the last decade, there has been remarkable progress in the areas of object detection and recognition due to high-quality color images along with their depth maps provided by RGB-D cameras. They enable artificially intelligent machines to easily detect and recognize objects and make real-time decisions according to the given scenarios. Depth cues can improve the quality of object detection and recognition. The main purpose of this research study to find an optimized way of object detection and identification we propose techniques of object detection using two RGB-D datasets. The proposed methodology extracts image normally from depth maps and then… More >
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