US 12,149,673 B2
System and method for reconstructing 3-D shapes of objects from reflection image
Jinwei Ye, Baton Rouge, LA (US); and Jie Lu, Baton Rouge, LA (US)
Assigned to BOARD OF SUPERVISORS OF LOUISIANA STATE UNIVERSITY AND AGRICULTURAL AND MECHANICAL COLLEGE, Baton Rouge, LA (US)
Filed by Board of Supervisors of Louisiana State University and Agricultural and Mechanical College, Baton Rouge, LA (US)
Filed on Apr. 24, 2023, as Appl. No. 18/138,199.
Application 18/138,199 is a continuation of application No. 16/874,632, filed on May 14, 2020, granted, now 11,671,580.
Claims priority of provisional application 62/847,788, filed on May 14, 2019.
Prior Publication US 2023/0362346 A1, Nov. 9, 2023
Int. Cl. G02F 1/1335 (2006.01); G02F 1/01 (2006.01); H04N 13/207 (2018.01); H04N 13/254 (2018.01)
CPC H04N 13/254 (2018.05) [G02F 1/0136 (2013.01); G02F 1/133536 (2013.01); H04N 13/207 (2018.05)] 18 Claims
OG exemplary drawing
 
1. A system for reconstructing a three-dimensional (3-D) point cloud of a target object, the system comprising:
a light source that generates light;
a polarization field generator that receives the light generated by the light source and generates a polarization field that illuminates the target object at a polarization state with an ellipticity based on an intensity of voltage input to the polarization field generator;
a camera that captures images of the illuminated target object; and
a processor that receives the captured images and processes the captured images by:
performing a polarization field decoding algorithm that decodes the polarization field to obtain a set of incident rays;
performing a camera ray decoding algorithm to obtain a set of camera rays;
performing a ray-ray intersection algorithm that determines intersection points where the set of incident rays and the set of camera rays intersect; and
performing a 3-D reconstruction algorithm that uses the set of incident rays, the set of camera rays and the intersection points to reconstruct a 3-D point cloud of the target object.