US 12,125,270 B2
Side by side image detection method and electronic apparatus using the same
Sergio Cantero Clares, New Taipei (TW); Chih-Haw Tan, New Taipei (TW); Shih-Hao Lin, New Taipei (TW); Chih-Wen Huang, New Taipei (TW); Wen-Cheng Hsu, New Taipei (TW); and Chao-Kuang Yang, New Taipei (TW)
Assigned to Acer Incorporated, New Taipei (TW)
Filed by Acer Incorporated, New Taipei (TW)
Filed on Jan. 21, 2022, as Appl. No. 17/581,806.
Claims priority of application No. 110107471 (TW), filed on Mar. 3, 2021.
Prior Publication US 2022/0284701 A1, Sep. 8, 2022
Int. Cl. G06T 7/593 (2017.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/82 (2022.01) [G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A side by side image detection method, comprising:
obtaining a first image with a first image size;
detecting a second image that conforms to a side-by-side image format within the first image by using a convolutional neural network model, wherein the second image has a second image size; and
switching a 3D display to a 3D display mode to display a 3D picture according to the second image in response to obtaining the second image that conforms to the side-by-side image format from the first image,
wherein detecting the second image that conforms to the side-by-side image format within the first image by using the convolutional neural network model comprises:
inputting the first image into the convolutional neural network model, and obtaining a confidence parameter according to model output data of the convolutional neural network model; and
obtaining the second image that conforms to the side-by-side image format within the first image according to the model output data of the convolutional neural network model in response to the confidence parameter being greater than a threshold value.