A new robust 3D motion estimation under perspective projection

In this paper, we present a new 3D camera motion estimationtechniqueusingopticalflow froma pairof imagestaken under a perspective projection. The problem formulation leads to the solution of overdeterminednonlinear system of equations w.r.t. the motion parameters. By employing an efficientinitial guess algorithm which uses a weak perspectiveprojection and an image coordinatenormalization technique, the nonlinear solution can be obtained robustly and accurately. The proposed method has been tested on both several synthetic and real image sequences. The results show that the performance of the proposed algorithm is quite superior to the conventionalones even under more generalandnoisy situations.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Hye Ri Cho, Kyoung Mu Lee, Sang Uk Lee
• Keywords: Camera Motion Estimationtechniqueusingopticalflow, Efficientinitial Guess Algorithm, ICIP 2001, Image Processing, Real Image Sequences