US 12,340,449 B2
Method and system for generating random graphic training dataset and hologram
Xingpeng Yan, Beijing (CN); Xinlei Liu, Beijing (CN); Xi Wang, Beijing (CN); Tao Jing, Beijing (CN); Xiaoyu Jiang, Beijing (CN); Zhuo Chen, Beijing (CN); and Cheng Song, Beijing (CN)
Assigned to Army Academy of Armored Forces of PLA, Beijing (CN)
Filed by Army Academy of Armored Forces of PLA, Beijing (CN)
Filed on May 24, 2023, as Appl. No. 18/201,487.
Claims priority of application No. 202210953313.3 (CN), filed on Aug. 10, 2022.
Prior Publication US 2024/0054705 A1, Feb. 15, 2024
Int. Cl. G06T 11/60 (2006.01); G06N 3/08 (2023.01); G06T 11/40 (2006.01)
CPC G06T 11/60 (2013.01) [G06N 3/08 (2013.01); G06T 11/40 (2013.01)] 4 Claims
OG exemplary drawing
 
1. A method for generating a random graphic training dataset, comprising:
randomly generating a plurality of graphic datasets, wherein each of the graphic datasets comprises a square, a circle and an equilateral triangle;
for any graphic dataset, performing gradual filling on each graphic in the graphic dataset to obtain a gradual graphic dataset, which further comprises:
for any graphic in the graphic dataset, determining a to-be-filled pixel value at each point in the graphic according to a distance from each point in the graphic to a center of the graphic, to obtain a gradual graphic corresponding to the graphic, which further comprises:
for any point inside the graphic, calculating a to-be-filled pixel value be point according to a formula

OG Complex Work Unit Math
wherein p is the to-be-filled pixel value of the point, LOU is a distance from the point to the center of the graphic, max (LOU) is a maximum of distances from all points inside the graphic to the center of the graphic, and δ is a gradual index of a gray value; and
performing translation transformation on each graphic in the gradual graphic dataset for a predetermined number of times to obtain random graphics corresponding to the graphic dataset, and determining random graphics corresponding to all graphic datasets as a random graphic training dataset.