If the correction by object detection and the correction by the previous frame are performed for all 340 frames and the 3D restoration result is displayed while moving the viewpoint, it will look like . This is the conclusion of this HP for the time being. Stereo vision, stereo parallelism, detection of rotational movement between frames, and object detection have all been done with the gaze_line-depth model and graph cut, but I think that this is all that can be done with the gaze_line-depth model. After that, I think that now I have to combine deep learning. If you are interested, please email email@example.com.
Below is a bonus. The original 200 stereo images are . The photo shows me and my laboratory at home. Next is 2011_09_28_drive_0053 downloaded from KITTI Raw Data Person and restored in 3D. The original 200 consecutive stereo images are .