Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search
Travis B. Dick, Camilo Perez, Martin Jägersand, Azad Shademan · 2013
We introduce a new 2D visual tracking algorithm that utilizes an approximate nearest neighbour search to estimate per-frame state updates.We experimentally demonstrate that the new algorithm capable of estimating larger per-frame motions than the standard registration-based algorithms and that it is more robust in a vision-controlled robotic alignment task.