3 accepted papers
Recovering global human and camera motion from monocular video is essential for world-coordinate human reconstruction but remains challenging due to entangled motions in image space. Traditional SLAM methods estimate monocular camera motion but fail in scenes dominated by foreground objects such as
Accurate camera motion estimation is essential for recovering global human motion in world coordinates from RGB video inputs. While SLAM is widely used for estimating camera trajectory and point cloud, monocular SLAM does so only up to an unknown scale factor. Previous works estimate the scale facto…
2D keypoints are commonly used as an additional cue to refine estimated 3D human meshes. Current methods optimize the pose and shape parameters with a reprojection loss on the provided 2D keypoints. Such an approach while simple and intuitive has limited effectiveness because the optimal solution is…