An object recognition method comprises: acquiring a key point set of a first object in a first image (301); acquiring, by means of a neural network model, first orientation key point sets respectively corresponding to multiple objects in a second image (302); determining, according to the key point set and a motion trend of the first object, a second orientation key point set of the first object in the second image (303); for any target first orientation key point set in the multiple first orientation key point sets, determining, according to at least one first orientation key point in the target first orientation key point set and at least one second orientation key point in the second orientation key point set, a target distance between the first orientation key point set and the second orientation key point set (304); and if the target distance satisfies a preset condition, using the target first orientation key point set as a key point set of the first object in the second image (305). In a multi-user interaction scenario, the invention identifies key point sets of the same object in a video stream, thereby improving the accuracy of recognition.
AUGMENTED REALITY PROCESSING METHOD, OBJECT RECOGNITION METHOD, AND RELATED APPARATUS