A new feature for 3D point clouds that is more efficient than the state-of-the-art SHOT

Sai Manoj Prakhya, Bingbing Liu, Weisi Lin, Vinit Jakhetiya & Sharath Chandra Guntuku, B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds, Auton Robot (2017) 41:1501–1520, DOI: 10.1007/s10514-016-9612-y.

We present the first attempt in creating a binary 3D feature descriptor for fast and efficient keypoint matching on 3D point clouds. Specifically, we propose a linarization technique and apply it on the state-of-the-art 3D feature descriptor, SHOT to create the first binary 3D feature descriptor, which we call B-SHOT. B-SHOT requires 32 times lesser memory for its representation while being six times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Next, we propose a robust evaluation metric, specifically for 3D feature descriptors. A comprehensive evaluation on standard benchmarks reveals that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art real valued 3D feature descriptors, albeit at dramatically lower computational and memory costs.

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