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Image Pattern Analysis and Machine Intelligence (IPAMI)

The research interests of the group include human vision perception and perceptual organization, computation models of perception and perceptify technology, statistical and structural image pattern analysis, perceptual pattern learning, generic image segmentation, perceptual feature classification and grouping, vision applications on surveillance (motion), content based image retrieval, medical imaging, and robot vision, etc.

Group Website: http://projects.cs.dal.ca/ipami/
Contact Information: Dr. Qigang Gao
Phone: 1-902-494-3356
Email: q.gao@dal.ca
Research Areas and
  • Vision Perceptify
    • Vision perceptify language: perceptual partition and grouping
    • Vision based computer-user interface
  • Image Segmentation
    • Perceptify token-based generic region segmentation
    • Medical imaging: retina vessel map extraction
  • Content-based Image Retrieval
    • Content-based image retrieval using perceptual shape features
    • Content-based image retrieval using extended autocorrelogram
  • Surveillance and Motion Analysis
    • Motion object analysis: motion tracking and license recognition
    • Gesture analysis for video game control
  • Robot Vision
    • Web-based robot control, Multi-sensor data fusion
    • Autonomous underwater hexapod robot
  • Case-based reasoning and expert systems
  • Visual attention and computational neuroscience
Funding: NSERC, MITACS & Industrial partners
Faculty Members:
Other Members:
  • Dr. Jason Gu, jason.gu@dal.ca, Department of Electrical and Computer Engineering
Graduate Students and
Research Assistants:
  • Dr. Gary Gang Hu, Research Associate, Motion object analysis and visual sensor based HCI, 2012-.
  • Md. Zahangir Alom, PhD student, Computer vision based augmented reality, 09/2013-.
  • Albina Mukanova, MACS student, Perceptual content based image retrieval, 2011-.
  • Mohammad Ali Bagheri, PhD student, Research area: Perceptual representation language for image/video semantic analysis, 09/2010-.
Alumni and Past Projects:
  • Gary Gang Hu, Phd, A generic gesture recognition approach based on visual perception, 2012.
  • Huiqiong Chen, Phd, Towards generic region segmentation for image/video analysis: an integrated perceptual grouping approach using generic-edge-token graph,2008.
  • Xiaofen Zheng, Phd, Perceptual organization based curve partitioning, classification and grouping, 2007.
  • Mei Wu, MCS, Image retrieval using generic shape schema, 2005.
  • Yu Qiao, MCS, A novel enhanced method of getting autocorrelogram in content-based image retrieval, 2005.
  • Derek Rivait, BCS, License plate identification using region-of-interest motion segmentation, 2004.
  • Yuexiong Tao, MCS, Perceptual organization based method for retina vessel extraction, 2004.
  • Yibo Li, MCS, Generic edge feature extraction based on perceptual curve partitioning, 2004.
  • Yun Zhang, MCS, Generic edge token based motion segmentation, 2003.
  • Chuxin Yu, MACS, Generic edge feature classification, 2002.
  • Mao Tan, MCS, A neural network method for generic edge feature classification, 2001.
  • Qing Dan, MACS, Fuzzy rule-based approach for edge feature classification, 2001.
  • Alan Parslow, BCS, Edge and boundary detection: a comparison of wavelet transforms vs. other methods, 1998.
Industry Partners: Spielo, Deep Vision Inc

Selected Publications

  • Gang Hu and Qigang Gao, "3D camera-based generic gesture analysis for video game interface", The 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'10), Las Vegas, USA, July 12-15, 2010, Vol. 1, pp 61-66.
  • Gang Hu and Qigang Gao, "Interactive image feature visualization for supporting CBIR study", Proceedings of The International Conference on Image Analysis and Recognition (ICIAR'09), Halifax, Canada, July 6-8, 2009, pp. 239-247.
  • Chen H., Gao Q. Integrating Color and Gradient into Real-time Curve Tracking, Proceedings of Canadian Conference on Computer Robot Vision, pp. 294-300, 2008.
  • Chen H., Gao Q. Intelligent Video Analysis for Vehicle Surveillance by Perceptual Edge Feature Grouping, Computer Vision Research Progress: 83-107, 2008.
  • Zhang X., Sherrill-Mix S. and Gao Q., "Perceptual shape-based natural image representation and retrieval", Proceedings of The 1st IEEE International Conference on Semantic Computing (ICSC2007), Irvine, CA, USA, Sep 17-19, 2007, pp. 622-629.
  • Chen H., Reilly D. GET-based map icon Identification for Interaction with Map and Kiosks, in Proc. the International Workshop on Video Processing and Recognition (VideoRec'07), Montreal, Canada, May 2007.
  • Reilly D., Chen H. Toward fluid, mobile and ubiquitous interaction with paper using recursive 2D barcodes, the 3rd Pervasive Mobile Interaction Devices workshop at Pervasive, Toronto, Canada, May 2007.
  • Chen H., Rivait D., and Gao. Q, Real-Time License Plate Identification by Perceptual Shape Grouping and Tracking, Proceedings of 9th International IEEE Conference on Intelligent Transportation Systems, Sept 11-15, 2006, Toronto, pp. 1352-1357.
  • Reilly D., Chen H. Mobile lenses: a hybrid approach to direct interaction with maps and kiosks, the Pervasive Mobile Interaction Devices workshop at Pervasive 2006, Dublin, Ireland, May 2006.
  • Zheng X., and Gao Q., Image Noise Removal Using Perceptual Edge Features, ICGST International Journal on Graphics, Vision and Image Processing, Special Issue on Edge Detection and Tracking, March, 2006, pp. 1-8.
  • Gao Q., Zhang Y., Parslow A., The influence of perceptual grouping on motion detection, Computer Vision and Image Understanding, Vol. 100, No. 3, pp. 442-457, 2005.
  • Chen H, Gao Q, Image region and shape detection by perceptual contour grouping, to appear in Proc. The 2005 IEEE International Conference on Mechatronics and Automation, Niagara Falls, Ontario, Canada July 29 - August 1, 2005.
  • M. Wu and Gao Q., Content-based image retrieval using perceptual shape features., Proceedings of the International Conference on Image Analysis and Recognition (ICIAR 2005), Toronto, Canada, Sept 28 - 30, 2005, pp. 567-574.
  • Gao Q, Zhang Y., Paslow A., Motion stream analysis based on perceptual feature partitioning and grouping, in Proc. The 2004 IEEE Intelligent Transportation Systems (2004 ITSC), pp. 575-579, Washington, D.C. Oct 3 - 6, 2004.
  • Gao Q, Tan M., A generic model for learning perceptual curve partitioning, International Journal of Fuzzy Systems (IJFS), Vol. 6, No. 3, pp. 115-121, Sept. 2004.
  • Zhang Y., Gao Q., A generic edge token based method for motion object segmentation, in Proc. The Third International Conference on Computer Vision, Pattern Rec ognition and Image Processing, Cary, North Carolina, USA, Sept. 26 - 30, 2003.
  • Tao Y., Gao Q., Vessel junction detection from retinal images, in Proc. The 16th International Conference on Vision Interface, pp 388-394, June 11-13, Halifax, Canada, 2003.
  • Zheng X., Gao Q., Generic edge tokens, representation and grouping, in Proc. The 16th International Conference on Vision Interface, pp 388-394, June 11-13, Halifax, Canada, 2003.
  • Gao Q., Paslow A., Tan M., Perceptual motion tracking from image sequences, in Proc. IEEE 2001 International Conference on Image Processing, pp 389-392, Thessaloniki, Greece, October 7-10, 2001.
  • Tan M., Gao Q., Feature grid neural networks for curve partitioning, in Proc. 2000 IEEE Workshop on Neural Networks for Signal Processing, pp 642-651, Sydney, Australia, Dec 11-13, 2000.
  • Gao Q., Visual Knowledge Representation for Three Dimensional Computing Vision, Encyclopedia of Library and Information Science, pp 333-347, Vol. 66, Supplement 29, Publisher: Marcel Decker, Inc., 2000.
  • Gao, Q., A.K.C. Wong and S.H. Wang, Estimating face-pose consistency based on synthetic view space, IEEE Transaction on Man, System and Cybernetics, Vol. 28, No. 5, pp 613-628, 1998.
  • Gao Q., Man-made object recognition based on visual perception, Journal of Electronic Imaging, Vol. 7, No. 1, pp 104-110, 1998.
  • Gao Q., A qualitative approach for conic shape recognition, International Journal of Computer Science and Information Management, Vol. 1, No. 2, pp 35-44, 1998.
  • Gao Q., Extracting object silhouettes by perceptual edge tracking, in Proc. IEEE International Conference on Systems,Man and Cybernetics, Vol. 3, pp 2450-2454, Orlando, USA, Oct. 11-15, 1997.
  • Gao Q. and S.H. Wang, Detection of hypothetical parallelograms based on perceptual groupings, in Proc. IASTED on Artificial Intelligence and Soft Computing, Banff, Canada, pp 288-291, 1997.
  • Gao, Q., 2D shape analysis based on perceptual hierarchy, in Proc. IEEE Digital Signal Processing Workshop, pp 223-226, Leon, Norway, 1996.
  • Gao, Q., A qualitative geometry method for curve form recognition, in Proc. IASTED on Artificial Intelligence, Expert Systems and Neural Networks, Hawaii, USA, pp 320-324, 1996.
  • Gao, Q., 2D shape analysis based on perceptual hierarchy, in Proc. IEEE Digital Signal Processing Workshop, pp 223-226, Leon, Norway, 1996.
  • Gao Q., A computational model for understanding three-dimensional view space, in in Proc. IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, pp 941-946, Beijing, China, Oct. 14-17, 1996.
  • Gao, Q. and R.X. Wang, Extracting structure-features of X-ray cephalograms, in Proc. IEEE International Conference on Systems, Man and Cybernetics, Vol. 5, pp 4268-4272, Vancouver, Canada, 1995.
  • Gao, Q., Visual knowledge representation by generic models, in Proc. International IMACS-Systems and Analysis and Simulation, SAMS, Vol. 18-19, pp. 425-428, Berlin, 1995.
  • Gao, Q. and A.K.C. Wong, Curve detection based on perceptual organization, Pattern Recognition, Vol. 27, No.7, pp 1039-1046, 1993.