US 12,327,369 B2
Dimensionally aware machine learning system and method
Bradley Quinton, Vancouver (CA); Trent McClements, Burnaby (CA); Michael Scott Lee, North Vancouver (CA); and Scott Chin, Vancouver (CA)
Assigned to Singulos Research Inc., Burnaby (CA)
Filed by SINGULOS RESEARCH INC., Burnaby (CA)
Filed on Feb. 14, 2022, as Appl. No. 17/671,158.
Claims priority of provisional application 63/183,397, filed on May 3, 2021.
Prior Publication US 2022/0351404 A1, Nov. 3, 2022
Int. Cl. G06T 7/70 (2017.01); G06T 3/40 (2006.01); G06T 7/80 (2017.01)
CPC G06T 7/70 (2017.01) [G06T 3/40 (2013.01); G06T 7/80 (2017.01); G06T 2207/20212 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of providing a dimensionally aware prediction for an object in an image captured by an image sensor, using a scale selective machine learning system, comprising:
obtaining an input comprising image data of an object at an input image scale;
generating a plurality of variant images based on re-scaling the input with a plurality of different image scaling factors, each variant image comprising the object at a variant image scale;
generating a plurality of scale selective predictions based on the plurality of variant images, and assigning an in-scope response when the variant image comprises the object at an in-scope image scale, and
determining a location prediction for the object based on a scale selective prediction comprising the in-scope response.