Paper Title :Contributing Saliency Maps and Visual Features Using RGB-D Images Applied in Industrial Robots
Author :Mahdi Amirsardari, Vahdi Rostami
Article Citation :Mahdi Amirsardari ,Vahdi Rostami ,
(2024 ) " Contributing Saliency Maps and Visual Features Using RGB-D Images Applied in Industrial Robots " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 80-85,
Volume-12,Issue-1
Abstract : Object detection plays a pivotal role in the field of industrial robotics, where precision and adaptability are
paramount. However, a major challenge arises when objects with color attributes similar to their environment that often
causes less accuracy recognition. This study explores a novel approach, applied in AtWork and industrial robots, to enhance
object detection capabilities. This paper introduces an RGB-D imaging approach contributed with saliency detection to
bridge the gap between depth-rich information and color-rich representations. The main objective is to extend object
recognition beyond shape and size, incorporating nuanced color-based discrimination, a challenge for traditional RGB-based
detection. The experimental results have been done on two image datasets. The result 89% accuracy on these datasets show
that the contribution of depth and RBG can improve the accuracy of image recognition.
Type : Research paper
Published : Volume-12,Issue-1
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20441
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Copyright: © Institute of Research and Journals
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Published on 2024-03-21 |
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