IMAGING APPARATUS AND CONTROL METHOD FOR IMAGING APPARATUS

    公开(公告)号:US20240022829A1

    公开(公告)日:2024-01-18

    申请号:US18351944

    申请日:2023-07-13

    摘要: An imaging apparatus includes at least one memory and at least one processor which function as: an exposure control unit configured to perform exposure control so that a representative brightness of a high brightness region of an image becomes a target brightness set by a user; and a tone correction unit configured to perform tone correction on a captured image, which was captured after performing the exposure control, based on a brightness of a dark portion that is a region having a brightness lower than the high brightness region, wherein the tone correction unit adjusts a correction amount of the tone correction so that the representative brightness of the high brightness region, which is corrected to be higher than the target brightness by the tone correction, becomes close to the target brightness.

    POSITIONING METHOD BASED ON SEMANTIC INFORMATION, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240020923A1

    公开(公告)日:2024-01-18

    申请号:US18220835

    申请日:2023-07-12

    摘要: A method includes: performing semantic segmentation on an RGBD image to obtain a semantic label of each pixel of the image; performing reconstruction of a point cloud based on the image and mapping the semantic label of each pixel of the image into the point cloud to respectively obtain a semantic point cloud of a current frame with the semantic labels and a three-dimensional scene semantic map with the semantic labels; generating two-dimensional discrete semantic feature points for each of three-dimensional semantic point clouds in the current frame and the semantic map to obtain a corresponding two-dimensional semantic feature point image, and performing a three-dimensional semantic feature description on each feature point in the two-dimensional semantic feature point image; and performing feature matching on all feature points in the current frame and all feature points in the semantic map to obtain positioning information based on the three-dimensional semantic feature description.