Computer Vision and Image Analysis of Art

David G. Stork’s work delves into the intersection of technology and art, exploring how computer vision and image analysis can enhance the understanding and appreciation of artistic creations. Through a series of research papers, the text illuminates innovative methodologies and breakthroughs stemming from SPIE conferences, showcasing the potential of computational tools in art conservation, restoration, and critique.

The collection serves as a valuable resource for both researchers and practitioners keen on applying advanced imaging techniques in the art world. By highlighting a range of studies and applications, it illustrates how these technologies can reveal hidden details, analyze artistic styles, and contribute to art historical scholarship.