Image-based re-lighting method
A technology of heavy lighting and images, applied in the field of machine learning and graphics, can solve the problems of increasing work intensity and storage space, and achieve the effect of less image samples, less training time, and high PSNR value
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[0031] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0032] An image-based re-illumination method of the present invention, such as figure 1 shown, including:
[0033] Step 1: Collect a set of three-dimensional scene data (Dagon, Mitsuba), including the LigX and LigY coordinates of the point light source and the corresponding image set ImageSet output at a fixed viewpoint; calculate the average of the image set in the three channels of R, G, and B Value, get ImgAvg_R, ImgAvg_G, ImgAvg_B; scene data is shown in Table 1.
[0034] Table 1 scene data
[0035] Scenes Light source distribution image size dragon 31×31 64×48 Mitsuba 21×21 64×48
[0036] Step 2: Randomly sample in the image set ImageSet to form the image subset ImageSubset, and the number of image samples is ImageNum.
[0037] Step 3: Randomly sample the pixels of the image subset like ImageSubset to obtain...
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