title: Computer Vision (Object Identification) for Meta Verse
abstract: The project is not based on neural networks, but geometric shape manipulation. I had to post this project multiple tiines as none of the freelancers who applied read the project description and insisted doing things in their own way I will start contacting freelancers on Monday morning 1) Whenever applicable find matching shapes based on geometric features 2) Insert smaller pieces into larger ones and check if there is at least an average 50% of volume is overlap for both pieces combined and if so assign them as matching pairs for comparison 3) If there are no matching shape pairs based on geometric features or if 1st test failed then assign the unpaired shape in Object A to any other unpaired shape in Object B with closest volume overlap ratio 4) Any left-over unpaired shape will have 0...
keyphrases: geometric shape manipulation, closest volume overlap ratio, left-over unpaired shape, meta verse, matching shape pairs, object identification, computer vision, neural networks, geometric features, project description