Bi-objective Optimization for Robust RGB-D Visual Odometry

27 Nov 2014 Tao Han Chao Xu Ryan Loxton Lei Xie

This paper considers a new bi-objective optimization formulation for robust RGB-D visual odometry. We investigate two methods for solving the proposed bi-objective optimization problem: the weighted sum method (in which the objective functions are combined into a single objective function) and the bounded objective method (in which one of the objective functions is optimized and the value of the other objective function is bounded via a constraint)... (read more)

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