![]() ![]() In: Pacific-Rim Conference on Multimedia. Viewpoint quality evaluation for augmented virtual environment. A fast fusion method for multi-videos with three-dimensional GIS scenes. Videoscapes: exploring sparse, unstructured video collections. IEEE J Emerg Sel Top Circ Syst, 2014, 4: 142–152 VideoWeb: space-time aware presentation of a videoclip collection. Panoramic video from unstructured camera arrays. Perazzi F, Sorkine-Hornung A, Zimmer H, et al. In: Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015. Video stitching with spatial-temporal content-preserving warping. Image stitching based on semantic planar region consensus. Local-adaptive image alignment based on triangular facet approximation. In: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. Warping residual based image stitching for large parallax. Content-preserving image stitching with piecewise rectangular boundary constraints. A novel projective-consistent plane based image stitching method. Virtual Reality Intell Hardware, 2019, 1: 55–83 Image alignment and stitching: a tutorial. Method for 3D scene structure modeling and camera registration from single image. In: Proceedings of ACM International Conference on Multimedia, 2010. An immersive system for browsing and visualizing surveillance video. In: Proceedings of ACM SIGMM Workshop on Video Surveillance, 2003. 3D video surveillance with augmented virtual environments. In: Proceedings of IEEE Virtual Reality, 2003. Augmented virtual environments (AVE): dynamic fusion of imagery and 3D models. In: Proceedings of Eurographics Workshop on Rendering, 2002. Video flashlights: real time rendering of multiple videos for immersive model visualization. In: Proceedings of European Conference on Computer Vision, 2016. SEAGULL: seam-guided local alignment for parallax-tolerant image stitching. Multi-viewpoint panorama construction with wide-baseline images. Parallax-tolerant image stitching based on robust elastic warping. Natural image stitching with the global similarity prior. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. In: Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition, 2015. Adaptive as-natural-as-possible image stitching. Lin C C, Pankanti S U, Ramamurthy K N, et al. Shape-preserving half-projective warps for image stitching. In: Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. As-projective-as-possible image stitching with moving DLT. A comparative study of algorithms for realtime panoramic video blending. Low-cost 360 stereo photography and video capture. Compared with previous state-of-the-art methods, experiment results illustrate that our method significantly improves the stitching quality.Īnderson R, Gallup D, Barron J T, et al. The algorithm recovers an approximate 3D model for each video streaming and optimizes the warping of the models to meet the requirements of feature point matching of the 3D models from adjacent videos. In this paper, we propose a novel model-guided 3D stitching algorithm for AVE. ![]() Existing AVE methods primarily follow from video projection, and cannot produce satisfactory stitching results compared with image stitching. The augmented virtual environment (AVE) captures videos as live textures of 3D models in a virtual environment, and provides another 3D solution to overcome the aforementioned challenges. However, some long-term challenges still exist, including wide baselines between cameras, large parallaxes, and low texture in overlapping areas. Image and video stitching have made tremendous progress in the construction of wide field-of-view (FOV). ![]()
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