Covariance based point cloud descriptors for object detection and recognition

•We introduce a covariance-based feature descriptor for object classification.•The descriptor is compact (low dimensionality) and computationally fast.•Adding new descriptor features amounts to the addition of a new row and column.•There is no need to tune parameters such as bin size or number.•The descriptor is naturally discriminative and subtracts out common data features.