Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-27T10:40:23.200Z Has data issue: false hasContentIssue false

7 - Computer Vision

Published online by Cambridge University Press:  17 September 2021

Andrew Fabian
Affiliation:
University of Cambridge
Janet Gibson
Affiliation:
Darwin College, Cambridge
Mike Sheppard
Affiliation:
University of Cambridge
Simone Weyand
Affiliation:
University of Cambridge
Andrew Blake
Affiliation:
Samsung AI Research Centre
Carolin Crawford
Affiliation:
University of Cambridge
Paul Fletcher
Affiliation:
University of Cambridge
Sophie Hackford
Affiliation:
Wired Magazine
Anya Hurlbert
Affiliation:
Newcastle University
Dan-Eric Nilsson
Affiliation:
Lunds Universitet, Sweden
Carlo Rovelli
Affiliation:
International Centre for Theoretical Physics
Get access

Summary

Can we trust the judgement of machines that see? Computer vision is being entrusted with ever more critical tasks: from access control by face recognition, to diagnosis of disease from medical scans and hand-eye coordination for surgical and nuclear decommissioning robots, and now to taking control of motor vehicles.

Type
Chapter
Information
Vision , pp. 180 - 196
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

The Economist. GrAIt expectations. The Economist, 28 March 2018.Google Scholar
McCarthy, J., Minsky, M. L., Rochester, N., and Shannon, C. E. (2006). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Mag. 2006; 27(4): 1214.Google Scholar
Roberts, L. G. Machine Perception of Three-Dimensional Solids. PhD thesis, MIT, 1963.Google Scholar
Papert, S. A. The Summer Vision Project. MIT AI Memo 100. 1966.Google Scholar
Ambler, A. P., Barrow, H. G., Brown, C. M., Burstall, R. H., and Popplestone, R. J. A versatile computer-controlled assembly system. In Proc. IJCAI ’73: Proceedings of the 3rd International Joint Conference on Artificial Intelligence. San Francisco, CA: Morgan Kauffmann, 1973; 298307.Google Scholar
Horn, B. K. P. Robot Vision. Cambridge, MA: MIT Press, 1986.Google Scholar
Dickmanns, E. D., and Graefe, V. Applications of dynamic monocular machine vision. Machine Vision Applic. 1988; 1(4): 241261.Google Scholar
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A. et al. Stanley: The robot that won the DARPA Grand Challenge. J. Field Robotics 2006; 23(9): 661692.Google Scholar
Blake, A., and Isard, M. Active Contours. London: Springer, 1998.Google Scholar
Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J. Active shape models – their training and application. Comp. Vision Image Understanding 1995; 61(1): 3859.Google Scholar
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Li, F.-F. ImageNet: A large-scale hierarchical image database. In IEEE Conference on Computational Vision and Pattern Recognition. New York, NY: IEEE Publishing, 2009; 248255.Google Scholar
Krizhevsky, A., Sutskever, I., and Hinton, G. E. ImageNet classification with deep convolutional neural networks. Adv. Neural Information Processing Syst. 2012; 25(2): 10971105.Google Scholar
He, K., Zhang, X., Ren, S., and Sun, J. Deep residual learning for image recognition. In IEEE Conference on Computer Vision and Pattern Recognition. New York, NY: IEEE Publishing, 2016; 770778.Google Scholar
Shotton, J., Fitzgibbon, A. W., Cook, M., Sharp, T., Finocchio, M. et al. Real-time human pose recognition in parts from a single depth image. Commun. ACM 2011; 56(1): 116124.Google Scholar
Viola, P., and Jones, M. Rapid object detection using a boosted cascade of simple features. In IEEE Conference on Computer Vision and Pattern Recognition. New York, NY: IEEE Publishing, 2001; 511518.Google Scholar
Kossaifi, J., Tzimiropoulos, G., Todorovic, S., and Pantic, M. AFEW-VA database for valence and arousal estimation in-the-wild. Image and Vision Comput. 2017; 65: 2336.Google Scholar
Kamnitsas, K., Ledig, C., Newcombe, V. F., Simpson, J. P., Kane, A. D. et al. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Med. Image Anal. 2017; 36: 6178.Google Scholar
Zikic, D., Ioannou, Y., Brown, M., and Criminisi, A. Segmentation of brain tumor tissues with convolutional neural networks. In MICCAI Workshop on Multimodal Brain Tumor Segmentation Challenge (BRATS). New York, NY: Springer, 2014; 3639.Google Scholar
Mukherjee, S. (2017). A.I. versus M.D.: What happens when diagnosis is automated? New Yorker, 27 March 27 2017.Google Scholar
Gavrila, D. M. Pedestrian detection from a moving vehicle. IEEE Trans. Pattern Recognition Machine Intell. 2000; 31( 12): 21792195.Google Scholar
Fleetwood, J. Public health, ethics, and autonomous vehicles. Am. J. Public Health 2017; 107: 532537.CrossRefGoogle ScholarPubMed
Frisby, J. P. Seeing: Illusion, Brain and Mind. Oxford: Oxford University Press, 1979.Google Scholar
Gregory, R. L. Eye and Brain: The Psychology of Seeing. Princeton, NJ: Princeton University Press, 1966.Google Scholar
Besag, J. Spatial interaction and the statistical analysis of lattice systems. J. Roy. Statist. Soc. B 1974; 36( 2): 192225.Google Scholar
Rother, C., Kolmogorov, V., and Blake, A.GrabCut’: Interactive foreground extraction using iterated graph cuts. ACM Trans. Graphics 2004; 23(3): 309314.Google Scholar
Shotton, J., Winn, J., Rother, C., and Criminisi, A. TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In Leonardis, A., Bischof, H., and Pinz, A., eds. Computer Vision – ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7–13, 2006. Proceedings, Part I. Berlin: Springer, 2006; 115.Google Scholar
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A. et al. TensorFlow: A system for large-scale machine learning. In Proc. 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). 2016; 265–283.Google Scholar
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D. et al. Intriguing properties of neural networks. 2013; arXiv preprint arXiv:1312.6199.Google Scholar
Salakhutdinov, R., Tenenbaum, J., and Torralba, A. One-shot learning with a hierarchical nonparametric Bayesian model. J. Machine Learning Res. 2012; 27: 195206.Google Scholar
Schroff, F., Kalenichenko, D., and Philbin, J. FaceNet: A unified embedding for face recognition and clustering. In 2015 IEEE Conference on Computer Vision and Pattern Recognition. New York, NY: IEEE Publishing, 2015; 815823.Google Scholar
Blake, A., Bordallo, A., Hawasly, M., Penkov, S., Ramamoorthy, S., and Silva, A. Efficient Computation of Collision Probabilities for Safe Motion Planning. 2018; Arxiv 1804.05384.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×