Computer Vision (Object Identification) for Meta Verse
Budget: $1,500 – $3,000 USD
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
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 for match comparison values and have a negative effect on Object match ratio based on its volume shape in total object volume
c) Size measurement & comparison of each Similar Geometric Shape Type; comparison of total Area, Volume and Length
d) Calculation of Avg. Piece Area, Volume and Length for all Pieces under each Unique
Shape Type and calculation of Deviation from Avg. Values and comparison of deviation
levels among Objects
e) Identification of intersection points for each geometric shape with other shapes; count, position, area & angle of intersection
f) For each shape Avg. intersection Count, Area, Angle and Position and for each piece deviation from these average values and comparison of deviation levels among Objects
Detailed document after NDA is signed, pls apply only after reading project description
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 for match comparison values and have a negative effect on Object match ratio based on its volume shape in total object volume
c) Size measurement & comparison of each Similar Geometric Shape Type; comparison of total Area, Volume and Length
d) Calculation of Avg. Piece Area, Volume and Length for all Pieces under each Unique
Shape Type and calculation of Deviation from Avg. Values and comparison of deviation
levels among Objects
e) Identification of intersection points for each geometric shape with other shapes; count, position, area & angle of intersection
f) For each shape Avg. intersection Count, Area, Angle and Position and for each piece deviation from these average values and comparison of deviation levels among Objects
Detailed document after NDA is signed, pls apply only after reading project description