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CMU Researchers Propose Persistent Independent Particles (PIPs): A Computer Vision Method For Multi-frame Point Trajectory Estimation Through Occlusions
MarkTechPost www.marktechpost.com
The challenge of motion estimation is important to computer vision and has far-reaching implications. Tracking makes it possible to create models of an object’s shape, texture, articulation, dynamics, affordances, and other characteristics. Fine-grained tracking not only enables precise manipulation by robots but also allows for greater precision in tracking. Greater granularity in tracking enables deeper […]
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