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    Chapter and Conference Paper

    Fusion of Laser Point Clouds and Color Images with Post-calibration

    Fusion of laser point clouds and color images has a great advantage in the photogrammetry, computer vision, and computer graphics communities. Most of existing methods estimate the projection matrix for mappin...

    **ao-Chuan Zhang, Qiu-Hua Lin, Ying-Guang Hao in Advances in Neural Networks – ISNN 2018 (2018)

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    Chapter and Conference Paper

    Image Edge Detection for Stitching Aerial Images with Geometrical Rectification

    Changes of the flight attitude of unmanned aircraft cause nonlinear distortion in the aerial images. Stitching these images without geometric rectification may cause the problem of mismatching. However, the ge...

    Zhi-Xuan Liu, Qiu-Hua Lin, Ying-Guang Hao in Advances in Neural Networks – ISNN 2018 (2018)

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    Chapter and Conference Paper

    Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data

    Functional network connectivity (FNC) and Granger causality have been widely used to identify functional and effective connectivity for resting functional magnetic resonance imaging (fMRI) data. However, the r...

    Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang in Advances in Neural Networks - ISNN 2017 (2017)

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    Chapter and Conference Paper

    Rapid Triangle Matching Based on Binary Descriptors

    Geometric constraints have been widely applied to image matching to gain additional advantages over feature points. A rapid triangle matching (RTM) algorithm was such an algorithm for matching triangles formed...

    Min Tian, Qiu-Hua Lin in Advances in Neural Networks - ISNN 2017 (2017)

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    Chapter and Conference Paper

    A Fast Decryption Algorithm for BSS-Based Image Encryption

    The image encryption based on blind source separation (BSS) takes advantage of the underdetermined BSS problem to encrypt multiple confidential images. Its security can be further improved if the number of ima...

    Qiu-Hua Lin, Fu-Liang Yin, Hua-Lou Liang in Advances in Neural Networks - ISNN 2006 (2006)