The invention belongs to the technical field of image processing, and particularly relates to a non-Lambert body surface luminosity three-dimensional model and method based on three-dimensional convolution. The invention discloses a non-Lambert body surface luminosity stereoscopic model based on three-dimensional convolution. The non-Lambert body surface luminosity stereoscopic model comprises an information fusion layer, an inter-frame feature extraction layer, a spatial feature extraction layer, a maximum pooling layer and a regression layer. The information fusion layer is used for fusing each image and the corresponding light source information, and ensuring one-to-one correspondence of the images and the light sources in subsequent processing; the inter-frame feature extraction layer is used for extracting inter-frame information, obtaining information between input image frames and estimating a normal graph; the spatial feature extraction layer extracts internal structure information of a single image for normal graph recovery; and the maximum pooling layer is used for reducing dimensions, removing redundant information, compressing features, simplifying network complexity, reducing calculation amount and reducing memory consumption.
Non-Lambert body surface luminosity three-dimensional model and method based on three-dimensional convolution