Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs |
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Affiliation: | 1. School of Computer Science & Informatics, Cardiff University, Cardiff CF23 6PS, UK;2. Department of Computer Science, Aberystwyth University, Aberystwyth SY23 3DB, UK;3. Brain and Cognitive Engineering, Korea University, Seoul, South Korea |
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Abstract: | Automatic bas-relief generation from 2D photographs potentially has applications to coinage, commemorative medals and souvenirs. However, current methods are not yet ready for real use in industry due to insufficient artistic effect, noticeable distortion, and unbalanced contrast. We previously proposed a shape-from-shading (SFS) based method to automatically generate bas-reliefs from single frontal photographs of human faces; however, suppression of unwanted details remained a problem. Here, we give experimental results showing how incorporating non-photorealistic rendering (NPR) into our previous framework enables us to both suppress unwanted detail, and yet also emphasize important features. We have consider an alternative approach to recovering relief shape, based on photometric stereo instead of SFS for surface orientation estimation. This can effectively reduce the computational time. |
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Keywords: | Bas-relief Non-photorealistic rendering Shape-from-shading Photometric stereo |
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