Invention Grant
- Patent Title: Efficient SIMD implementation of 3X3 non maxima suppression of sparse 2D image feature points
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Application No.: US15989551Application Date: 2018-05-25
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Publication No.: US10521688B2Publication Date: 2019-12-31
- Inventor: Deepak Kumar Poddar , Pramod Kumar Swami , Prashanth Viswanath
- 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 Kenneth Liu; Charles A. Brill; Frank D. Cimino
- Priority: IN201641013532 20160419
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62

Abstract:
This invention transforms a list of feature points in raster scan order into a list of maxima suppressed feature points. A working buffer has two more entries than the width of the original image. Each entry is assigned to an x coordinate of the original image. Each entry stores a combined y coordinate and reliability score for each feature point in the original list. This process involves a forward scan and a backward scan. For each original feature point its x coordinate defines the location within the working buffer where neighbor feature points would be stored if they exist. The working buffer initial data and the y coordinates assure a non-suppress comparison result if the potential neighbors are not actual neighbors. For actual neighbor data, the y coordinates match and the comparison result depends solely upon the relative reliability scores.
Public/Granted literature
- US20190005349A1 EFFICIENT SIMD IMPLEMENTATION OF 3X3 NON MAXIMA SUPPRESSION OF SPARSE 2D IMAGE FEATURE POINTS Public/Granted day:2019-01-03
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