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Dr Andrew Calway

Dr Andrew Calway

Dr Andrew Calway

Reader in Computer Science

Office 3.21
Merchant Venturers Building,
Woodland Road, Clifton BS8 1UB
(See a map)

+44 (0) 117 954 5149


I am a Reader in Computer Vision at the University of Bristol based in the Department of Computer Science and a member of the Visual Information Laboratory (VIL) and the Bristol Robotics Laboratory (BRL). My research covers computer vision and its applications - robotics, wearable computing and augmented reality - and I have done a lot of work on 3-D tracking and scene reconstruction, mainly in simultaneous localisation and mapping (SLAM). Working with industry and on interdisciplinary projects is always a high priority for me - please get in touch if you are interested in working with me.


My expertise is in computer vision; extracting information from images and video to allow autonomous systems to gain an understanding of the world. I have over 25 years of research experience in this area, covering topics ranging from feature extraction and disparity estimation for stereo vision through to 3-D tracking and vision based simultaneous localisation and mapping (SLAM). The latter has been the focus of my work for the past 10 years, involving the development of early real-time monocular SLAM systems with particular emphasis on robust operation and relocalisation capability. More recently I have worked on 3-D tracking and reconstruction using RGB-D sensors and image based place recognition and navigation.


For more information see my personal web pages.


  • computer vision
  • robotics
  • augmented reality


I carry out research in computer vision and image processing: designing algorithms to automatically extract information from digital images and video. My areas of expertise are feature extraction, depth from stereo, image and video compression, motion analysis and 3-D extraction techniques. Our current research focuses on novel methods for analysing and extracting motion from video, including visual tracking, depth estimation and view interpolation. The work has applications in media, leisure, manufacturing and medical informatics.

  • computer vision
  • image processing
  • motion and tracking
  • image and video compression
  • Memberships


    Department of Computer Science

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