Invention Grant
- Patent Title: Semi-global matching (SGM) cost compression
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Application No.: US17539945Application Date: 2021-12-01
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Publication No.: US11831874B2Publication Date: 2023-11-28
- Inventor: Do-Kyoung Kwon , Jing-Fei Ren , Darnell Moore
- Applicant: Texas Instruments Incorporated
- Applicant Address: US TX Dallas
- Assignee: Texas Instruments Incorporated
- Current Assignee: Texas Instruments Incorporated
- Current Assignee Address: US TX Dallas
- Agent Carl G. Peterson; Frank D. Cimino
- Main IPC: H04N19/124
- IPC: H04N19/124 ; H04N13/161 ; H04N19/137 ; H04N19/182 ; G06T7/593 ; H04N13/00

Abstract:
This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.
Public/Granted literature
- US20220094933A1 SEMI-GLOBAL MATCHING (SGM) COST COMPRESSION Public/Granted day:2022-03-24
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