![]() ![]() Wang, K., Torkhani, F., Montanvert, A.: A fast roughness-based approach to the assessment of 3D mesh visual quality. ![]() In: Robotics-DL tentative, International Society for Optics and Photonics, pp. Schning, J., Heidemann, G.: Evaluation of multi-view 3D reconstruction software. Koutsoudis, A., Vidmar, B., Ioannakis, G., Arnaoutoglou, F., Pavlidis, G., Chamzas, C.: Multi-image 3D reconstruction data evaluation. Nex, F., Gerke, M., Remondino, F., Przybilla, H.J., Bumker, M., Zurhorst, A.: ISPRS benchmark for multi-platform photogrammetry. ![]() Kaartinen, H., Hyypp, J., Kukko, A., Jaakkola, A., Hyypp, H.: Benchmarking the performance of mobile laser scanning systems using a permanent test field. VISIAppĪhmadabadian, A.H., Robson, S., Boehm, J., Shortis, M., Wenzel, K., Fritsch, D.: A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs. Schning, J., Heidemann, G.: Taxonomy of 3D sensors. In: 2013 International Conference on Electronics, Computer and Computation (ICECCO), pp. Stereo and Kinect fusion for continuous 3D reconstruction and visual odometry. In: Progress in Physical Geography (2015) Smith, M.W., Carrivick, J.L., Quincey, D.J.: Structure from motion photogrammetry in physical geography. Singh, S.P., Jain, K., Mandla, V.R.: 3D scene reconstruction from video camera for virtual 3D city modeling. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Fitzgibbon, A.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. CapturingReality: Reality Capture, May 2016. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |