Abstract: An illuminant estimation method, including acquiring two image frames, wherein a distance between the two image frames is greater than a predetermined distance; detecting shadows included in the two image frames, extracting pixel feature points corresponding to the shadows, determining point cloud information about the shadows, and distinguishing a point cloud of each shadow based on the point cloud information about the shadows; acquiring point cloud information about multiple objects, and distinguishing a point cloud of each object based on the point cloud information corresponding to the multiple objects; matching the point cloud of the each shadow and the point cloud of the each object in order to determine corresponding shadows associated with the multiple objects; and determining a position of an illuminant according to a positional relation between the multiple objects and the corresponding shadows.

Abstract: An apparatus for determining ambient illumination in an AR scene includes: setting virtual light source points in an AR scene, predicting reference illumination parameters of all of the virtual light source points for a current image frame according to a neural network, configuring a reference space confidence and a reference time confidence for the virtual light source points, acquiring a reference comprehensive confidence by fusing the reference space confidence and the reference time confidence, acquiring a fused current comprehensive confidence by comparing the reference comprehensive confidence with a comprehensive confidence of a previous image frame, acquiring illumination parameters of the current frame by correcting the illumination parameters of the current image frame according to the current comprehensive confidence, the previous frame comprehensive confidence and the previous frame illumination parameters, and performing illumination rendering of a virtual object in the AR scene according to the

Abstract: An apparatus for determining ambient illumination in an AR scene includes: setting virtual light source points in an AR scene, predicting reference illumination parameters of all of the virtual light source points for a current image frame according to a neural network, configuring a reference space confidence and a reference time confidence for the virtual light source points, acquiring a reference comprehensive confidence by fusing the reference space confidence and the reference time confidence, acquiring a fused current comprehensive confidence by comparing the reference comprehensive confidence with a comprehensive confidence of a previous image frame, acquiring illumination parameters of the current frame by correcting the illumination parameters of the current image frame according to the current comprehensive confidence, the previous frame comprehensive confidence and the previous frame illumination parameters, and performing illumination rendering of a virtual object in the AR scene according to the