SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2005 Papers
An Iterative Optimization Approach for Unified Image Segmentation and Matting
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soft scissors: an interactive tool for realtime high quality matting
ACM SIGGRAPH 2007 papers
Automatic Natural Video Matting with Depth
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Image and video matting: a survey
Foundations and Trends® in Computer Graphics and Vision
Evaluation of a Foreground Segmentation Algorithm for 3D Camera Sensors
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Programming Massively Parallel Processors: A Hands-on Approach
Programming Massively Parallel Processors: A Hands-on Approach
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The automatic detection of regions of interest in a video is fundamental for a fast generation of many ground truth images. In this paper we introduce a new solution for selecting regions of interest based on an automatic image matting method. Image matting is a set of techniques designed to obtain a precise separation of background and foreground in image or video sequences. Basically all the matting approaches need a direct human interaction, there are only few total automatic solutions. To achieve this goal we combine two different video streams: the color one and the depth one. In particular, we use an automatic depth based segmentation to substitute the human input in the Soft Scissors, one of the most precise matting algorithm. The overall efficiency is achieved using the Nvidia CUDA architecture to execute the most computational intensive sections of algorithm. The result of the matting can be used as a ground truth for successive elaborations.