Abstract
Virtual Reality provides an immersive and intuitive shopping experience for customers. This raises challenging problems of reconstructing real-life products realistically in a cheap way. We present a seamless texturing method for 3D reconstructed objects with inexpensive consumer-grade scanning devices. To this end, we develop a two-step global optimization method to seamlessly texture reconstructed models with color images. We first perform a seam generation optimization based on Markov random field to generate more reasonable seams located at low-frequency color areas. Then, we employ a seam correction optimization that uses local color information around seams to correct the misalignments of images used for texturing. In contrast to previous approaches, the proposed method is more computationally efficient in generating seamless texture maps. Experimental results show that our method can efficiently deliver a seamless and high-quality texture maps even for noisy data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
