Optimizing Color Matching and Color Effects in Oil Painting Using Computer Vision Technology

Abstract

The fusion of traditional oil painting techniques with computer vision technology presents an exciting frontier in the realm of artistic expression. This paper explores the intersection of these disciplines, focusing specifically on optimizing color matching and manipulating color effects in oil painting through computational means. By leveraging algorithms and image processing techniques, artists can enhance their creative process, enabling precise color measurement, nuanced color analysis, and predictive modelling of color combinations' visual impact. Through a comprehensive review of relevant literature, case studies, and practical applications, this paper elucidates the methodologies and advancements driving this convergence. Furthermore, it examines the implications of integrating computer vision into oil painting, offering insights into its transformative potential for artistic practice and aesthetic outcomes. By fostering a deeper understanding of this interdisciplinary intersection, this paper aims to inspire further exploration and innovation at the nexus of art and technology, ultimately enriching the landscape of contemporary artistic expression.