Recognition of 3D Objects Based on Implicit Polynomials
Closed-form expressions for a new set of 3D rotation invariants that are linear, quadratic, and angular combinations of implicit polynomial (IP) coefficients are developed. Based on these invariants, we propose a 3D object recognition method that outperforms recognition based on IP fitting after pose estimation, and the MPEG-7 SSD technique.
implicit polynomials 3d object recognition tensor contraction rotation-invariant 3d object fitting