Dr. Xiaoqing Liu Profile

Dr. Xiaoqing Liu

at UtopiaCompression Corp

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Publications (8)

Proceedings Article | 1 May 2010 Paper

Realistic and efficient 2D crack simulation

Jacob Yadegar, Xiaoqing Liu, Abhishek Singh

Proceedings Volume 7705, 77050I (2010) https://doi.org/10.1117/12.852440

KEYWORDS: Fractal analysis, Chemical elements, Modeling and simulation, Computer simulations, Data modeling, Machine learning, Finite element methods, Computer graphics, Binary data, Tolerancing

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Proceedings Article | 1 May 2010 Paper

Novel high-fidelity realistic explosion damage simulation for urban environments

Xiaoqing Liu, Jacob Yadegar, Youding Zhu, Chaitanya Raju, Jaya Bhagavathula

Proceedings Volume 7705, 770504 (2010) https://doi.org/10.1117/12.851937

KEYWORDS: Spherical lenses, 3D modeling, Explosives, Systems modeling, Motion models, Reflectivity, Electromagnetic simulation, Reflection, Computer simulations, Solids

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Proceedings Article | 15 April 2010 Paper

Hierarchical layered and semantic-based image segmentation using ergodicity map

Jacob Yadegar, Xiaoqing Liu

Proceedings Volume 7701, 77010J (2010) https://doi.org/10.1117/12.852467

KEYWORDS: Image segmentation, Fractal analysis, Image processing algorithms and systems, Visualization, Stereolithography, Image analysis, Machine vision, Computer vision technology, Astatine, Binary data

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Image segmentation plays a foundational role in image understanding and computer vision. Although great strides have been made and progress achieved on automatic/semi-automatic image segmentation algorithms, designing a generic, robust, and efficient image segmentation algorithm is still challenging. Human vision is still far superior compared to computer vision, especially in interpreting semantic meanings/objects in images. We present a hierarchical/layered semantic image segmentation algorithm that can automatically and efficiently segment images into hierarchical layered/multi-scaled semantic regions/objects with contextual topological relationships. The proposed algorithm bridges the gap between high-level semantics and low-level visual features/cues (such as color, intensity, edge, etc.) through utilizing a layered/hierarchical ergodicity map, where ergodicity is computed based on a space filling fractal concept and used as a region dissimilarity measurement. The algorithm applies a highly scalable, efficient, and adaptive Peano- Cesaro triangulation/tiling technique to decompose the given image into a set of similar/homogenous regions based on low-level visual cues in a top-down manner. The layered/hierarchical ergodicity map is built through a bottom-up region dissimilarity analysis. The recursive fractal sweep associated with the Peano-Cesaro triangulation provides efficient local multi-resolution refinement to any level of detail. The generated binary decomposition tree also provides efficient neighbor retrieval mechanisms for contextual topological object/region relationship generation. Experiments have been conducted within the maritime image environment where the segmented layered semantic objects include the basic level objects (i.e. sky/land/water) and deeper level objects in the sky/land/water surfaces. Experimental results demonstrate the proposed algorithm has the capability to robustly and efficiently segment images into layered semantic objects/regions with contextual topological relationships.

Proceedings Article | 5 May 2009 Paper

Automated intelligent video surveillance system for ships

Hai Wei, Hieu Nguyen, Prakash Ramu, Chaitanya Raju, Xiaoqing Liu, Jacob Yadegar

Proceedings Volume 7306, 73061N (2009) https://doi.org/10.1117/12.819051

KEYWORDS: Target detection, Decision support systems, Intelligence systems, Video surveillance, Detection and tracking algorithms, Video, Visualization, Classification systems, Radar, Target recognition

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Proceedings Article | 30 April 2009 Paper

A semantic based video indexing and retrieval system for maritime surveillance

Hieu Nguyen, Prakash Ramu, Xiaoqing Liu, Hai Wei, Jacob Yadegar

Proceedings Volume 7346, 734608 (2009) https://doi.org/10.1117/12.819043

KEYWORDS: Video surveillance, Video, Cameras, Semantic video, Target detection, Surveillance, Classification systems, Maritime surveillance, Image retrieval, Detection and tracking algorithms

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Proceedings Article | 11 March 2008 Paper

A learning-based automatic spinal MRI segmentation

Xiaoqing Liu, Jagath Samarabandu, Greg Garvin, Rethy Chhem, Shuo Li

Proceedings Volume 6914, 69143L (2008) https://doi.org/10.1117/12.769891

KEYWORDS: Image segmentation, Magnetic resonance imaging, Image processing algorithms and systems, Image processing, Optical filters, Medical imaging, Visual analytics, Image visualization, Visualization, Image enhancement

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Proceedings Article | 26 March 2007 Paper

A learning-based automatic clinical organ segmentation in medical images

Xiaoqing Liu, Jagath Samarabandu, Shuo Li, Ian Ross, Greg Garvin

Proceedings Volume 6512, 65120Y (2007) https://doi.org/10.1117/12.709433

KEYWORDS: Image segmentation, Image processing algorithms and systems, Magnetic resonance imaging, Cardiovascular magnetic resonance imaging, Medical imaging, Image processing, Optical filters, Machine learning, Visual analytics, Image visualization

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Proceedings Article | 1 March 2005 Paper

A simple and fast text localization algorithm for indoor mobile robot navigation

Xiaoqing Liu, Jagath Samarabandu

Proceedings Volume 5672, (2005) https://doi.org/10.1117/12.594572

KEYWORDS: Mobile robots, Image resolution, Machine vision, Navigation systems, Visualization, Image processing, Eye, Visual process modeling, Image segmentation, Environmental sensing

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Showing 5 of 8 publications

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