11320E500100 Seminar

TOPIC
▸　Three-Dimensional Street-View Reconstruction with Monocular Stereo Vision 

❝　With the extensive developments of intelligent vehicle research, LiDAR (light detection and ranging) is widely used in the detection and reconstruction of three-dimensional (3D) street view. However, in order to meet the needs of object recognition, it is necessary to rely on the assistance of image information. Therefore, more and more researches have used stereo vision technologies to solve the needs of 3D space detection or object recognition. A difficult challenge for 3D street view image collage of continuous images captured by moving a single camera is to obtain accurate motion information for each image pair. This research proposes a 3D street-view reconstruction algorithm using a single camera to achieve 2D-to-3D image conversion. The proposed algorithm can accurately estimate the relative baseline length of adjacent image pairs, thereby accurately converting 2D images into 3D images and further completing the collage of multiple sets of 3D images. In addition, the proposed algorithm can also filter out 3D estimation errors, moving objects and object dragging issues. In the experimental results, the proposed algorithm and three VSLAM (visual simultaneous localization and mapping) related algorithms are analyzed and compared with test images. Results confirm the superiority of the proposed algorithm for the accurate reconstruction of 3D street views.　❞

SPEAKER
▸　Prof. Sendren Sheng-Dong XU
▸　Department of Power Mechanical Engineering, National Tsing Hua University

TIME
▸　2025/05/27 (TUE) 13:20 ~ 15:10

VENUE
▸　Classroom 201, Engineergin Building 1