By David Münch, Ann-Kristin Grosselfinger, Wolfgang Hübner, Michael Arens (auth.), Mei Chen, Bastian Leibe, Bernd Neumann (eds.)
This ebook constitutes the refereed lawsuits of the ninth foreign convention on computing device imaginative and prescient platforms, ICVS 2013, held in St. Petersburg, Russia, July 16-18, 2013. lawsuits. The sixteen revised papers offered with 20 poster papers have been rigorously reviewed and chosen from ninety four submissions. The papers are prepared in topical sections on photo and video catch; visible cognizance and item detection; self-localization and pose estimation; movement and monitoring; 3D reconstruction; beneficial properties, studying and validation.
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Additional info for Computer Vision Systems: 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings
The foreground is post-processed to remove shadows . 3. A volumetric model is created using the Visual Hull algorithm . 4. A triangulated mesh is obtained from the volumetric model using the Marching Cubes algorithm . 5. Texture is added to the triangulated mesh based on triangle visibility . 28 C. Benedek et al. sketch panorama Fig. 6. Sketch and panorama of a 4D reconstruction studio Fig. 7 shows an example of augmented reality created with the help of the 4D reconstruction studio.
4D studio for future internet: Improving foreground-background segmentation. In: IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 559–564. IEEE (2012) 5. : Use of the hough transformation to detect lines and curves in pictures. Comm. of the ACM 15, 11–15 (1972) 6. : Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM 24, 381–395 (1981) 7. : Real-time 4D reconstruction of human motion.
T. each other and their areas. These three attributes are obtained from the range image D. By means of the intrinsic ToF camera parameters ΠL the depth image D is transformed into a point cloud. Therewith the central points of all surﬂets are available. In Fig. 1 the distance dij between emitter κi and receiver κj is the Euclidean norm of ||pi −pj ||. A principal component analysis is performed on the basis of the neighbouring 3d points and gives the normal n. The normal is useful to obtain the surﬂet orientation and the surﬂet area.