Joint Pose and Principal Curvature Refinement Using Quadrics
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| Authors | Tom Drummond, Andrew Spek |
| Journal/Conference Name | Proceedings - IEEE International Conference on Robotics and Automation |
| Paper Category | Artificial Intelligence |
| Paper Abstract | In this paper we present a novel joint approach for optimising surface curvature and pose alignment. We present two implementations of this joint optimisation strategy, including a fast implementation that uses two frames and an offline multi-frame approach. We demonstrate an order of magnitude improvement in simulation over state of the art dense relative point-to-plane Iterative Closest Point (ICP) pose alignment using our dense joint frame-to-frame approach and show comparable pose drift to dense point-to-plane ICP bundle adjustment using low-cost depth sensors. Additionally our improved joint quadric based approach can be used to more accurately estimate surface curvature on noisy point clouds than previous approaches. |
| Date of publication | 2017 |
| Code Programming Language | C++ |
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