Robotic Vision: Understanding Improves the Geometric Accuracy

نویسنده

  • Javier Civera
چکیده

. Paraphrasing Olivier Faugeras in the foreword of [1], making a robot see is still an unsolved and challenging task after several decades of research. The traditional research has been based on the geometric models of multiple views of a scene, estimating a sparse 3D map of the scene and the camera pose. Recent advances have led to fully dense and real-time 3D reconstructions. Also, there are relevant recent works on the semantic annotation of the 3D maps. This extended abstract summarizes the work of [2], [3], [4], [5], [6] in this direction; in particular using mid and high-level features to improve the accuracy of dense maps.

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تاریخ انتشار 2015