Interactive Theater Experience Design Based on Image Recognition in Virtual Reality Environments

With the advancement of Virtual Reality (VR) technology, Ainteractive theater has gained increasing attention as an emerging art form. VR environments provide audiences with immersive experiences, allowing them not only to observe but also to influence the narrative progression. However, existing research primarily focuses on static scenes and simple interaction mechanisms, lacking real-time analysis of dynamic user behavior, which limits engagement and the quality of the experience. Moreover, traditional image recognition techniques often fall short inAaccuracy and real-time performance when handling complex scenes, making them insufficient for the evolving demands of interactive theater. Therefore, exploring interactive theater experience design based on image recognition-particularly with adaptive initial contouring and saliency detection-becomes crucial. This study aims to enhance the user experience in interactive theater through two main components. First, it investigates adaptive initial contouring of VR images in interactive theater to enable personalized user interactions. Second, it employs superpixel-based contour-aware methods for saliency detection in VR images, aiming to improve the efficiency and accuracy of visual content recognition. Through these studies, this research seeks to provide new technical support and theoretical foundations for creating interactive theater in VR, driving further advancements in the field.