On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Paint by numbers: abstract image representations
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
An algorithm for automatic painterly rendering based on local source image approximation
NPAR '00 Proceedings of the 1st international symposium on Non-photorealistic animation and rendering
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Unsupervised Image Translation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
From image parsing to painterly rendering
ACM Transactions on Graphics (TOG)
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
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One of the artistic impressions of typical oil painting artworks is its wide spectrum of visual variety as the lighting condition changes. This distinguishable feature of oil painting comes from the texture and a volume of color expressed by thickness of used pigments and brushing. In this paper, we present a novel method to synthesize an oil painting image from a source picture based on a virtual light and non-photorealistic rendering technique. To generate the oil painting image as an output, our system first performs stroke distribution, which determines where the brush is located for a stroke, using an edge detection technique and an image segmentation process on a source image. Then an intermediate image is produced with proper colors, an orientation and a size of the brush at each stroke point. Finally we apply a light effect to the intermediate image to generate the oil painting artwork.