Augmented Reality (AR) has become an increasingly used technology to support and enhance the development of cultural tourism products. In this type of cultural tourism product, experience design is critical to the effectiveness of the narrative. The case study presented in this paper examines the path of combining mobile AR technology with experience design to integrate tourism cultural and creative stamp products, and takes Doumen Old Street culture as an example to illustrate the specific design ideas for combining AR technology with cultural and creative products. Through three-dimensional modeling to build virtual cultural buildings, apply image processing technology for cultural and creative products seal design, combined with Unity engine and Vuforia engine technology to create a supporting APP. enhance the interest and willingness of visitors to buy AR cultural and creative seal products.
This research focuses on exploring the challenges and problems faced by deep learning in image format alteration. Conventional neural networks often face problems such as blurred edge margins, lack of three-dimensionality in texture details of the generated stylized simulated images, and distorted lines in the stylization of simulated images. We have investigated the method of applying convolutional neural networks based on semantic segmentation for image style transformation with the aim of generating higher quality image data. We used neural network style transformation means combined with semantic segmentation techniques for FCN-CRF images to obtain the corresponding binary masks. The content corresponding masks were fed into the CNN for network analysis to achieve the image style transformation, which in turn generated the starting simulated image in full embroidery style. Finally, the image after the enhancement of the edge contours was integrated with the embroidered fabric and the initial simulated image, so we obtained a more superior visual perception. Using the optimization technique, we can enhance the hierarchical structure of the foreground and background images in the style simulation effect image, and we can improve the edge definition and clarity of the style simulation effect image, so as to create a superior style simulation visual performance than the traditional algorithm.
With the advent of the era of big data, the application of big data technology is deepening in the construction of smart cities. Due to its many advantages, big data technology plays an important and irreplaceable role in the construction of smart cities, such as revitalizing industries, assisting the government and facilitating people's livelihood, and can exert a positive impact on the development of many industries. Therefore, many industries are researching and developing the application of big data technology. In the hope of improving the efficiency of development. The effective application of big data technology in smart city planning can speed up the construction of smart city and make it more perfect. Combined with the present situation of smart city construction in our country, this paper will put forward some suggestions on the application of big data technology in smart city construction.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.