Object detection and classification with fourier fans

摘要

An object detection and classification system includes at least one image sensor mounted on a vehicle and configured to capture an image of a portion of the environment surrounding the vehicle. The image may be stored and analyzed to detect and classify objects visible in the captured image. Keypoints are extracted from the image and evaluated according to a feature function. A new descriptor function depending on the distance in complex space between a query point and the keypoints in the image and on the feature value of the keypoints may be sampled to produce a sample value. The sample value may trigger a signal to the operator of the vehicle to respond to the object if the sample value classifies the object as satisfying a potential hazard condition.