Patriots quarterback Tom Brady has often credited his success to spending countless hours studying his opponent’s movements on film. This understanding of movement is necessary for all living species, whether it’s figuring out what angle to throw a ball at, or perceiving the motion of predators and prey. But simple videos can’t actually give us the full picture. That’s because traditional videos and photos for studying motion are two-dimensional, and don’t show us the underlying 3-D structure of the person or subject of interest. Without the full geometry, we can’t inspect the small and subtle movements that help us move faster, or make sense of the precision needed to perfect our athletic form.
Recently, though, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have come up with a way to get a better handle on this understanding of complex motion. The new system uses an algorithm that can take 2-D videos and turn them into 3-D printed “motion sculptures” that show how a human body moves through space. In addition to being an intriguing aesthetic visualization of shape and time, the team envisions that their “MoSculp” system could enable a much more detailed study of motion for professional athletes, dancers, or anyone who wants to improve their physical skills.
Given an input video, the system first automatically detects 2-D key points on the subject’s body, such as the hip, knee, and ankle of a ballerina while she’s doing a complex dance sequence. Then, it takes the best possible poses from those points to be turned into 3-D “skeletons.” After stitching these skeletons together, the system generates a motion sculpture that can be 3-D printed, showing the smooth, continuous path of movement traced out by the subject. Users can customize their figures to focus on different body parts, assign different materials to distinguish among parts, and even customize lighting.
Read more here (Massachusetts Institute of Technology, CSAIL. “Creating 3-D-printed ‘motion sculptures’ from 2-D videos: Helping athletes, dancers and others better analyze how they move.” ScienceDaily. ScienceDaily, 19 September 2018.)