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Technical Briefs
Methods and Applications
Saturday, 01 December 11:00 - 12:45 | Garnet 219
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Scoring functions for Automatic Arrangement of Business InteriorsAutomatic interior arrangement problem is usually described as either an optimization or a procedural generation task. We introduce a new method of addressing this problem by means of scoring functions. Our system creates high quality and diversified arrangements within tight time constraints. Szymon Chojnacki, Reterio Project, Poland |
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Real-time Manga-Like Depiction Based on Interpretation of Bodily Movements by Using KinectIn order to enrich visual communications, we propose a real-time system that interprets bodily movements by using Kinect. Based on captured data analysis, our system automatically attaches various Manga-like effects, such as speed lines, focus lines, or motion blur, to live-action movie in real time. Daiki Umeda, Tokyo Denki University Graduate School |
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Automatic Chinese Food Identification and Quantity EstimationOur system can automatically identify food categories and has been implemented as an Andriod application. The overall accuracy for 50 categories of food achieves 68.3% by cooperating with SVM and multi-class Adaboost algorithm. Top 3 and Top 5 candidates accuracy can reach 84.8% and 90.9%. Mei-Yun Chen, National Taiwan University |
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Using Text N-Grams for Model Suggestions in 3D ScenesWe suggest models for a partially completed 3D scene by examining label co-occurrences in the Google Web 1T 5-gram dataset. Our new text-based algorithm injects a greater variety of good model arrangements into a recent Graph Kernel system that only trains on available 3D scene data. Laureen Lam, Stanford University |
Sponsored by ACMSIGGRAPH