By Shi-Kuo Chang (auth.), Susanne Boll, Qi Tian, Lei Zhang, Zili Zhang, Yi-Ping Phoebe Chen (eds.)
The sixteenth foreign convention on Multimedia Modeling (MMM2010) used to be held within the well-known mountain urban Chongqing, China, January 6–8, 2010, and hosted by way of Southwest college. MMM is a number one foreign convention for researchersand practitioners to proportion their new rules, unique examine effects and practicaldevelopment reports from all multimedia similar parts. MMM2010attractedmorethan160regular,specialsession,anddemosession submissions from 21 countries/regions world wide. All submitted papers have been reviewed by means of no less than computer participants or exterior reviewers, and such a lot of them have been reviewed via 3 reviewers. The evaluate strategy used to be very selective. From the entire of 133 submissions to the most song, forty three (32. 3%) have been authorized as average papers, 22 (16. 5%) as brief papers. In all, 15 papers have been got for 3 exact periods, that's through invitation purely, and 14 submissions have been bought for a demo consultation, with nine being chosen. Authors of accredited papers come from sixteen countries/regions. This quantity of the complaints comprises the abstracts of 3 invited talks and all of the average, brief, specific consultation and demo papers. The common papers have been categorised into 9 sections: 3D mod- ing;advancedvideocodingandadaptation;face,gestureandapplications;image processing;imageretrieval;learningsemanticconcepts;mediaanalysisandm- eling; semantic video innovations; and monitoring and movement research. 3 unique periods have been video research and occasion popularity, cross-X multimedia mining in huge scale, and cellular computing and purposes. The technical programfeatured 3 invited talks, paralleloral presentation of all of the accredited average and detailed consultation papers, and poster classes for brief and demo papers.
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Additional resources for Advances in Multimedia Modeling: 16th International Multimedia Modeling Conference, MMM 2010, Chongqing, China, January 6-8, 2010. Proceedings
A) (b) Fig. 2. (a) shows the cube, (b) shows the PVH 3 Safe Polyhedral Visual Hull This section presents a novel method to remove phantom volumes in PVH, only using geometric information. The algorithm contains two main steps: First, according to the information the PVH supplied for image planes, we divide silhouettes into two types of zones, safe zone and unsafe zone, correspondingly, we divide the viewing cone into two parts, one only contains real object, called safe cone, the other may contain phantom volumes.
The polyhedral visual hull produced a polygon surface model of visual hull, a view-independent approximation, with good quality and speed . Later Franco proposed a method with more precision and robustness but less stability and more complexity . Almost all the visual hull construction algorithms used volume intersection techniques to construct objects by silhouettes which reflected shape information of objects. Nevertheless, when there are complicated objects with self-occlusion, or multi objects with inter-occlusion, the silhouettes only contain part of information of objects in some scenes, the reconstructed visual hull may exhibit phantom volumes, which are part of intersection of visual cones but do not represent objects in the scene.
6) Then, the poly is the union of wspolyi and wnspolyi. We can obtain every division of one polygon from all cameras. Thus, the PVH is divided into different blocks by all cameras. Polyhedral Division. Given the division of PVH for each camera, the SPVH is illustrated as equation (7). N SPVH = ∪ ( Blocki ) . i =1 (7) Likewise, we calculate it in 2D space. For poly, we have obtained its division with respect to all cameras, thus we merge the safe polygons of poly into SPoly, and the equation is as (8).