IP Library Granted Patent US 10,893,299
Granted Patent B2
US 10,893,299 · App. 16/050,391 · Granted Jan 12, 2021

Surface normal vector processing mechanism

Inventors: Jill Boyce (Portland, OR); Scott Janus (Loomis, CA); Itay Kaufman (Petah Tikva, IL); Archie Sharma (Folsom, CA); Stanley Baran (Chandler, AZ); Michael Apodaca (Folsom, CA); Prasoonkumar Surti (Folsom, CA); Srikanth Potluri (Folsom, CA); Barnan Das (Newark, CA); Hugues Labbe (Granite Bay, CA); Jong Dae Oh (San Jose, CA); Gokcen Cilingir (San Jose, CA); Maria Bortman (Ashkelon, IL); Tzach Ashkenazi (Petach Tikva, IL); Jonathan Distler (Ganot, IL); Atul Divekar (San Jose, CA); Mayuresh M. Varerkar (Folsom, CA); Narayan Biswal (Folsom, CA); Nilesh V. Shah (Folsom, CA); Atsuo Kuwahara (Portland, OR); Kai Xiao (San Jose, CA); Jason Tanner (Folsom, CA); Jeffrey Tripp (Hillsboro, OR)
Assignee: Intel Corporation
H04N19/90G06T1/20G06T7/557G06T7/90G06T19/003G06T19/006H04N21/21805G06T2207/10028
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Quick Facts
Patent No.
US 10,893,299
App. No.
16/050,391
Granted
Jan 12, 2021
Kind
B2
Abstract

An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.

Claims (15)

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.

2. The method of claim 1 , further comprising mapping light estimations to the 6 DoF scene.

3. At least one non-transitory computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to:

estimate 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.

4. The computer readable medium of claim 3 , having instructions stored thereon, which when executed by one or more processors, further cause the processors to map light estimations to the 6 DoF scene.

5. An apparatus to facilitate light estimation, comprising:

one or more processors to estimate 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; and

a memory communicatively coupled to the one or more processors.

6. The apparatus of claim 5 , wherein the one or more processors further to map light estimations to the 6 DoF scene.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 15, 2018
From: BOYCE, JILL; JANUS, SCOTT; KAUFMAN, ITAY; SHARMA, ARCHIE; BARAN, STANLEY; APODACA, MICHAEL; SURTI, PRASOONKUMAR; POTLURI, SRIKANTH; DAS, BARNAN; LABBE, HUGUES; OH, JONG DAE; CILINGIR, GOKCEN; BORTMAN, MARIA; ASHKENAZI, TZACH; DISTLER, JONATHAN; DIVEKAR, ATUL; VARERKAR, MAYURESH M.; BISWAL, NARAYAN; SHAH, NILESH V.; KUWAHARA, ATSUO; XIAO, KAI; TANNER, JASON; TRIPP, JEFFREY
To: INTEL CORPORATION
Reel/Frame 047571/0905 →
Continuity (1)
Related Publication 20200045343A1 · Feb 6, 2020
Cited By (4)
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