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A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room

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  1. Chapter and Conference Paper

    Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

    With the advance of whole-body medical imaging technologies, computer aided detection/diagnosis (CAD) is being scaled up to deal with multiple organs or anatomical structures simultaneously. Multiple tasks (or...

    Yiqiang Zhan, **ang Sean Zhou, Zhigang Peng in Medical Image Computing and Computer-Assis… (2008)

  2. Chapter and Conference Paper

    MR-Based Real Time Path Planning for Cardiac Operations with Transapical Access

    Minimally invasive surgeries (MIS) have been perpetually evolving due to their potential high impact on improving patient management and overall cost effectiveness. Currently, MIS are further strengthened by t...

    Erol Yeniaras, Nikhil V. Navkar in Medical Image Computing and Computer-Assis… (2011)

  3. Chapter and Conference Paper

    Distance Metric Learning-Based Conformal Predictor

    In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...

    Fan Yang, Zhigang Chen, Guifang Shao in Artificial Intelligence Applications and I… (2012)

  4. Chapter and Conference Paper

    Classifying Stem Cell Differentiation Images by Information Distance

    The ability of stem cells holds great potential for drug discovery and cell replacement therapy. To realize this potential, effective high content screening for drug candidates is required. Analysis of images ...

    **anglilan Zhang, Hongnan Wang in Machine Learning and Knowledge Discovery i… (2012)

  5. Chapter and Conference Paper

    Local Clustering Conformal Predictor for Imbalanced Data Classification

    The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...

    Huazhen Wang, Yewang Chen, Zhigang Chen in Artificial Intelligence Applications and I… (2013)

  6. Chapter and Conference Paper

    Object Color Constancy for Outdoor Multiple Light Sources

    Color is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is ...

    Liangqiong Qu, Zhigang Duan, Jiandong Tian, Zhi Han, Yandong Tang in Computer Vision (2015)

  7. Chapter and Conference Paper

    Dimensionality Reduction for Hyperspectral Image Based on Manifold Learning

    A novel dimensionality reduction method named spectral angle and geodesic distance-based locality preserving projection (SAGD-LPP) was proposed in this paper. Considering the physical characters of hyperspectr...

    Yiting Wang, Shiqi Huang, Hongxia Wang, Daizhi Liu, Zhigang Liu in Image and Graphics (2015)

  8. Chapter and Conference Paper

    Mobile Panoramic Vision for Assisting the Blind via Indexing and Localization

    In this paper, we propose a first-person localization and navigation system for hel** blind and visually-impaired people navigate in indoor environments. The system consists of a mobile vision front end with...

    Feng Hu, Zhigang Zhu, Jianting Zhang in Computer Vision - ECCV 2014 Workshops (2015)

  9. Chapter and Conference Paper

    Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor

    To help visually impaired people recognize people in their daily life, a 3D face feature registration approach is proposed with a RGB-D sensor. Compared to 2D face recognition methods, 3D data based approaches...

    Wei Li, Xudong Li, Martin Goldberg, Zhigang Zhu in Computer Vision - ECCV 2014 Workshops (2015)

  10. Chapter and Conference Paper

    Event Detection with Convolutional Neural Networks for Forensic Investigation

    Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital...

    Bo Yang, Ning Li, Zhigang Lu, Jianguo Jiang in Intelligent Information Processing VIII (2016)