US 11,956,470 B2
Predictor index signaling for predicting transform in geometry-based point cloud compression
Bappaditya Ray, San Diego, CA (US); Adarsh Krishnan Ramasubramonian, Irvine, CA (US); Louis Joseph Kerofsky, San Diego, CA (US); Geert Van der Auwera, Del Mar, CA (US); and Marta Karczewicz, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Apr. 6, 2021, as Appl. No. 17/223,780.
Claims priority of provisional application 63/090,567, filed on Oct. 12, 2020.
Claims priority of provisional application 63/087,774, filed on Oct. 5, 2020.
Claims priority of provisional application 63/043,596, filed on Jun. 24, 2020.
Claims priority of provisional application 63/012,557, filed on Apr. 20, 2020.
Claims priority of provisional application 63/010,519, filed on Apr. 15, 2020.
Claims priority of provisional application 63/006,634, filed on Apr. 7, 2020.
Prior Publication US 2021/0314616 A1, Oct. 7, 2021
Int. Cl. H04N 19/61 (2014.01); H04N 13/161 (2018.01); H04N 19/44 (2014.01)
CPC H04N 19/61 (2014.11) [H04N 13/161 (2018.05); H04N 19/44 (2014.11)] 32 Claims
OG exemplary drawing
 
1. A method for decoding point cloud data, the method comprising:
based on a comparison of a maximum difference value and a threshold;
reconstructing, based on a first jointly coded value, a first residual value of a current point of a point cloud;
reconstructing, based on a second jointly coded value, a second residual value of the current point; and
determining a predictor index based on the first and second jointly coded values, wherein the predictor index indicates a predictor in a predictor list, wherein predictors in the predictor list are based on attribute values of one or more neighbor points;
determining predicted attribute values based on the predictor index; and
reconstructing attribute values of the current point based on the first and second residual values and the predicted attribute values.