US 10,893,299 B2
Surface normal vector processing mechanism
Jill Boyce, Portland, OR (US); Scott Janus, Loomis, CA (US); Itay Kaufman, Petah Tikva (IL); Archie Sharma, Folsom, CA (US); Stanley Baran, Chandler, AZ (US); Michael Apodaca, Folsom, CA (US); Prasoonkumar Surti, Folsom, CA (US); Srikanth Potluri, Folsom, CA (US); Barnan Das, Newark, CA (US); Hugues Labbe, Granite Bay, CA (US); Jong Dae Oh, San Jose, CA (US); Gokcen Cilingir, San Jose, CA (US); Maria Bortman, Ashkelon (IL); Tzach Ashkenazi, Petach Tikva (IL); Jonathan Distler, Ganot (IL); Atul Divekar, San Jose, CA (US); Mayuresh M. Varerkar, Folsom, CA (US); Narayan Biswal, Folsom, CA (US); Nilesh V. Shah, Folsom, CA (US); Atsuo Kuwahara, Portland, OR (US); Kai Xiao, San Jose, CA (US); Jason Tanner, Folsom, CA (US); and Jeffrey Tripp, Hillsboro, OR (US)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Jul. 31, 2018, as Appl. No. 16/50,391.
Prior Publication US 2020/0045343 A1, Feb. 6, 2020
Int. Cl. H04N 19/90 (2014.01); H04N 21/218 (2011.01); G06T 7/557 (2017.01); G06T 19/00 (2011.01); G06T 1/20 (2006.01); G06T 7/90 (2017.01)
CPC H04N 19/90 (2014.11) [G06T 1/20 (2013.01); G06T 7/557 (2017.01); G06T 7/90 (2017.01); G06T 19/003 (2013.01); G06T 19/006 (2013.01); H04N 21/21805 (2013.01); G06T 2207/10028 (2013.01)] 6 Claims
OG exemplary drawing
1. A method to facilitate processing video bit stream data, comprising estimating relative location and intensity of light sources in a 360° six degrees of freedom (6 DoF) scene, including:
generating point clouds from the 6 DoF scene;
computing surface normals, determining whether light intensity peaks for objects in the 6 DoF scene are higher than a predetermined threshold difference; and
performing light estimations for each object upon a determination that the light intensity peaks are higher than a predetermined threshold difference.