Xiaohan Nie

Apr 14, 2023 | amazon.science | Xiaohan Nie |Shixing Chen |Raffay Hamid |Shima Nassiri

We propose a novel framework to register sports-fields as they appear in broadcast sports videos. Unlike previous approaches, we particularly address the challenge of field registration when: (a) there are not enough distinguishable features on the field, and (b) no prior knowledge is available about the camera.

Apr 14, 2023 | amazon.science | Sheng Liu |Xiaohan Nie |Raffay Hamid |Shima Nassiri

Existing approaches for Structure from Motion (SfM) produce impressive 3-D reconstruction results especially when using imagery captured with large parallax. However, to create engaging video-content in movies and TV shows, the amount by which a camera can be moved while filming a particular shot is often limited. The resulting small-motion parallax between video frames makes standard geometry-based SfM approaches not as effective for movies and TV shows.