Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection

@article{Spinello2012LeveragingRD,
  title={Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection},
  author={Luciano Spinello and Kai Oliver Arras},
  journal={2012 IEEE International Conference on Robotics and Automation},
  year={2012},
  pages={4469-4474}
}
Vision and range sensing belong to the richest sensory modalities for perception in robotics and related fields. This paper addresses the problem of how to best combine image and range data for the task of object detection. In particular, we propose a novel adaptive fusion approach, hierarchical Gaussian Process mixtures of experts, able to account for missing information and cross-cue data consistency. The hierarchy is a two-tier architecture that for each modality, each frame and each… CONTINUE READING
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