University of Waterloo

Category: Computer Vision

  • Lei Wang

    Lei Wang

    My research interests lie in the area of data assimilation and large scale satellite image classification and mapping.

  • Shelley Wang

    My research interests include stochastic graphical learning and modeling for large-scale networks and data mining and visualization, affective computing, image processing, computer vision, signal processing, femtocell networking, network control theory, wideband spectrum sensing, and dynamic spectrum access. My current focus is on efficient high-resolution, remote spatial biosignals measurements using video imaging for affective computing.

  • Hicham Sekkati

    My primary research interests lie in visual scene understanding. I am mainly concerned with solving problems arising in visual perception and action recognition, which are key components in many vision applications such as surveillance, robot guidance, multi-modal image interpretation, remote sensing, and visual field monitoring. I focus also my attention on the processing of optical/sonar…

  • Bi Hongbo

    Bi Hongbo

    My research interests are in the fields of digital watermarking, signal processing, pattern recognition and related fields. I am currently particularly interested in statistical modeling and feature extraction of natural images.

  • Fu (Helen) Hui

    Email: h26fu@uwaterloo.ca

  • Kai (Alex) Qin

    Kai (Alex) Qin

    My research interests include pattern recognition, image processing, computer vision, machine learning, evolutionary computation, remote sensing data analysis, biometrics and bioinformatics.

  • Zhijie Wang

    Zhijie Wang

    My current research focuses on Image Processing and Computer Vision, or more specifically, automated image and video analysis through detection, tracking and segmentation methods.

  • Parthipan Siva

    Parthipan Siva

    My research interests are primarily in the field of computer vision and pattern recognition with a focus on video analytics. I am particularly interesting in action/activity recognition in videos using a weakly supervised approach.

  • Christian Scharfenberger

    Christian Scharfenberger

    My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on saliency computation, camera calibration and stereo vision. I am particularly interested in practical applications of computer vision and image processing methods to problems in robotics and driver assistance systems.

  • Computer Vision

    Computer Vision

    Computer vision is the science and technology of teaching a computer to interpret images and video as well as a typical human. Technically, computer vision encompasses the fields of image/video processing, pattern recognition, biological vision, artificial intelligence, augmented reality, mathematical modeling, statistics, probability, optimization, 2D sensors, and photography.