Innovative Design of AR Posters Based on Artificial Intelligence and Computer Aided Design

With the continuous innovation of AI (Artificial intelligence) technology, the design tools and means of poster designers have been enriched. Traditional posters and paper media are no longer the only choice to show design. The rapid growth of AR (Augmented reality) technology provides new possibilities for the innovation of poster design. This article discusses the use of AI and CAD (Computer aided design) technology in AR poster design. Based on the content of AR poster, the image feature detection algorithm is modeled. Considering the lack of expressive ability of pure color features to AR poster image information, this article introduces the analysis of texture features of AR poster image, determines the algorithm of extracting texture features based on co-occurrence matrix and Gabor filter, and describes the content of AR poster image by combining color and texture features. The results show that compared with the other two feature detection algorithms, the proposed method achieves better accuracy. In the case of iterative algorithm, its accuracy is generally above 90%. This verifies the effectiveness of the proposed image feature detection algorithm, which can accurately extract image features. Using this method for image processing of innovative design of AR posters has good communication ability and high degree of image information fusion, which improves the innovative design effect of AR posters. © 2024 CAD Solutions, LLC.