首页|Reports Outline Robotics Study Results from Guru Nanak Dev Engineering College ( Distributed Feature Matching for Robust Object Localization in Robotic Manipulat ion)
Reports Outline Robotics Study Results from Guru Nanak Dev Engineering College ( Distributed Feature Matching for Robust Object Localization in Robotic Manipulat ion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news reporting originatingfrom Punjab, India, by NewsRx correspondents, research stated, “The feature matching algorithms areused to re cognize the position of flat objects or surfaces in an image.”The news journalists obtained a quote from the research from Guru Nanak Dev Engi neering College:“This is particularly used for the control of autonomous robot arms for pick and place operations undermonocular vision guidance systems. The problem arises where the object surface is not flat or the detectedfeature poin ts belong to the different height planes. The error is much more prominent if th e object isplaced away from the center of the camera view that leads to project ion parallax and the apparent surfacegeometry is distorted. The algorithm propo sed in this paper identifies horizontal planes with differentheights and uses f eature matching on individual planes in a distributed way to find accurate posit ion ofthe object. Two images of the object are required by this method to train and then find the object in asingle image, this allows 3D model matching using only monocular camera without using machine learningtechniques thatrequire a l arge dataset of training images. The algorithm works best for the multi-planar3 D objects, which have several feature pointson different height horizontal plane levels.”
Guru Nanak Dev Engineering CollegePunj abIndiaAsiaEmerging TechnologiesMachine LearningRoboticsRobots
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