Advanced Volume Visualization


An Intelligent System Approach for Probabilistic Volume Rendering using Hierarchical 3D Convolutional Sparse Coding

 
We propose a novel machine learning-based voxel classification method for highly-accurate volume rendering. Unlike conventional voxel classification methods that incorporate intensity-based features, the proposed method employs dictionary based features learned directly from the input data using hierarchical multi-scale 3D convolutional sparse coding, a novel extension of the state-of-the-art learning-based sparse feature representation method. The proposed approach automatically generates highdimensional feature vectors in up to 75 dimensions, which are then fed into an intelligent system built on a random forest classifier for accurately classifying voxels from only a handful of selection scribbles made directly on the input data by the user. We apply the probabilistic transfer function to further customize and refine the rendered result. The proposed method is more intuitive to use and more robust to noise in comparison with conventional intensity-based classification methods. We evaluate the proposed method using several synthetic and real-world volume datasets, and demonstrate the methods usability through a user study.
 

teasor

  • [PDF] JunYoung Choi, Tran Minh Quan, HaeJin Jeong, and Won-Ki Jeong. Probabilistic Volume Rendering using Hierarchical 3D Convolutional Sparse Coding. In 한국컴퓨터그래픽스학회 2017년 KCGS 학술대회 논문집. Korea Computer Graphics Society, 2017.
    [Bibtex]
    @inproceedings{jychoi_probablisticgraphics_2017,
    author={JunYoung Choi and Tran Minh Quan and HaeJin Jeong and Won-Ki Jeong},
    title={{Probabilistic Volume Rendering using Hierarchical 3D Convolutional Sparse Coding}},
    booktitle={{한국컴퓨터그래픽스학회 2017년 KCGS 학술대회 논문집}},
    journal={{한국컴퓨터그래픽스학회 학술대회}},
    publisher={Korea Computer Graphics Society},
    year={2017}
    }

 

  • [PDF] [DOI] Tran Minh Quan, JunYoung Choi, Haejin Jeong, and Won-Ki Jeong. An Intelligent System Approach for Robust Volume Rendering using Hierarchical 3D Convolutional Sparse Coding. IEEE transactions on visualization and computer graphics (TVCG), 24(1):964-973, 2017.
    [Bibtex]
    @article{quan_jun_haejin_vis_2017,
    title = {An Intelligent System Approach for Robust Volume Rendering using Hierarchical 3D Convolutional Sparse Coding},
    year={2017},
    volume={24},
    number={1},
    pages={964-973},
    author = {Tran Minh Quan and JunYoung Choi and Haejin Jeong and Won-Ki Jeong},
    journal = {{IEEE} transactions on visualization and computer graphics ({TVCG})},
    doi={10.1109/TVCG.2017.2744078},
    ISSN={1077-2626},
    }

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