Shenzhen Sensetime Technology Co., Ltd.

Wenxiu Sun

Qiong Yan

Liang Lin

Sijie Ren

Xiangyu Mao

Ruichao Xiao

Xiangyu Xu

Chengxi Yang

Yukang Gan

A method and apparatus for depth estimation of a monocular image, and a storage medium are provided. The method includes: obtaining, through a depth estimation neural network, a global feature of a monocular image according to absolute features of preset regions and relative features among the preset regions in the monocular image; and obtaining a predicted depth map of the monocular image according to the global feature, and the absolute features of preset regions and relative features among the preset regions in the monocular image.

Method and apparatus for depth estimation of monocular image, and storage medium

A dual-view angle image calibration method includes: performing feature matching on a first image pair to obtain a first feature point pair set, the first image pair including two images respectively photographed corresponding to two different view angles of a same scene; obtaining multiple different first fundamental matrices of the first image pair at least according to the first feature point pair set, and obtaining first image deformation information indicating relative deformation between the first image pair after mapping transformation is performed through the first fundamental matrices and the first image pair before the mapping transformation is performed; determining a first optimization fundamental matrix from the multiple first fundamental matrices at least according to the first image deformation information; and calibrating the first image pair according to the first optimization fundamental matrix.

Dual-view angle image calibration method and apparatus, storage medium and electronic device

A method and apparatus for estimating the depth of a binocular image, a device, a program, and a medium are provided. The method includes: inputting a to-be-processed binocular image into a predetermined neural network to obtain a parallax image and a confidence score image thereof, where a discrete parameter of each pixel in a preset distribution in the parallax image has a negative correlation with a confidence score of the pixel; and obtaining a depth image of the to-be-processed binocular image according to the parallax image.

Method and apparatus for estimating depth of binocular image, device, program, and medium

An image processing method includes: obtaining an original photographed image and original depth information of at least one pixel point in the original photographed image; determining blurring degree data of each of the at least one pixel point in the original photographed image according to blurring parameter data and the original depth information of the at least one pixel point; and performing blurring processing on the original photographed image according to the blurring degree data of the at least one pixel point to generate a post-processing result image.

Image processing methods and apparatuses, computer readable storage media and electronic devices

Image blurring methods and apparatuses, storage media, and electronic devices can include: obtaining a main image and a secondary image obtained by photographing the same object with a dual-lens camera; obtaining depth data and depth confidence degree data according to the main image and the secondary image, the depth data indicating depth values of corresponding pixel points in the main image and the secondary image, and the depth confidence degree data indicating confidence degrees of the depth values in the depth data; correcting at least one depth value in the depth data according to the depth confidence degree data; and blurring the main image according to corrected depth data.

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Shenzhen, China

Wenxiu Sun