Project Report - Computer Science bibliographies - in Harvard style

In-text: (Abdel-Hakim and Farag, 2006)

Your Bibliography: Abdel-Hakim, A. and Farag, A., 2006. CSIFT: A SIFT Descriptor with Color Invariant Characteristics. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06),.

In-text: (Andreopoulos and Tsotsos, 2013)

Your Bibliography: Andreopoulos, A. and Tsotsos, J., 2013. 50 Years of object recognition: Directions forward. Computer Vision and Image Understanding, 117(8), pp.827-891.

In-text: (Arctern, n.d.)

Your Bibliography: Arctern, n.d. The Spiral life cycle model. [image] Available at: <http://www.voltreach.com/Development_Methodologies.aspx> [Accessed 28 March 2015].

In-text: (Bay, Ess, Tuytelaars and Van Gool, 2008)

Your Bibliography: Bay, H., Ess, A., Tuytelaars, T. and Van Gool, L., 2008. Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding, 110(3), pp.346-359.

In-text: (Bo, Ren and Fox, 2013)

Your Bibliography: Bo, L., Ren, X. and Fox, D., 2013. Unsupervised Feature Learning for RGB-D Based Object Recognition. Experimental Robotics, pp.387-402.

In-text: (Broun, 2014)

Your Bibliography: Broun, A., 2014. py_websockets_bot. Dawn Robotics.

In-text: (Broun, 2014)

Your Bibliography: Broun, A., 2014. raspberry_pi_camera_bot. Dawn Robotics.

In-text: (Broun, 2014)

Your Bibliography: Broun, A., 2014. raspberry_pi_camera_streamer. Dawn Robotics.

In-text: (Burt and Adelson, 1983)

Your Bibliography: Burt, P. and Adelson, E., 1983. The Laplacian Pyramid as a Compact Image Code. IEEE Trans. Commun., 31(4), pp.532-540.

In-text: (Chen, Zhao, Xie and Sang, 2011)

Your Bibliography: Chen, W., Zhao, Y., Xie, W. and Sang, N., 2011. An improved SIFT algorithm for image feature-matching. 2011 International Conference on Multimedia Technology,.

In-text: (Coates and Ng, 2012)

Your Bibliography: Coates, A. and Ng, A., 2012. Learning Feature Representations with K-Means. Neural Networks: Tricks of the Trade, pp.561-580.

In-text: (Dawn Robotics, n.d.)

Your Bibliography: Dawn Robotics, n.d. Raspberry Pi Camera Robot. [image] Available at: <http://www.dawnrobotics.co.uk/raspberry-pi-camera-robot-chassis-bundle/> [Accessed 2 April 2015].

In-text: (Department of Health, 2013)

Your Bibliography: Department of Health, 2013. Certificate of Vision Impairment: Explanatory Notes for Consultant Ophthalmologists and Hospital Eye Clinic Staff. p.9.

In-text: (DiCarlo and Cox, 2007)

Your Bibliography: DiCarlo, J. and Cox, D., 2007. Untangling invariant object recognition. Trends in Cognitive Sciences, 11(8), pp.333-341.

In-text: (Dickinson, Leonardis, Schiele and Tarr, 2007)

Your Bibliography: Dickinson, S., Leonardis, A., Schiele, B. and Tarr, M., 2007. Object Categorization, Computer and Human Vision Perspectives. J. Electron. Imaging, 19(3), p.039901.

In-text: (DSDM Consortium, n.d.)

Your Bibliography: DSDM Consortium, n.d. Atern Lifecycle. [image] Available at: <http://www.dsdm.org/content/6-lifecycle> [Accessed 29 March 2015].

In-text: (Fergus, 2012)

Your Bibliography: Fergus, R., 2012. Deep Learning & Feature Learning Methods for Vision.

In-text: (Fischler and Bolles, 1981)

Your Bibliography: Fischler, M. and Bolles, R., 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6), pp.381-395.

In-text: (Güçlü and van Gerven, 2014)

Your Bibliography: Güçlü, U. and van Gerven, M., 2014. Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images. PLoS Computational Biology, 10(8), p.e1003724.

In-text: (Hirzel, n.d.)

Your Bibliography: Hirzel, T., n.d. Pulse Width Modulation. [image] Available at: <http://arduino.cc/en/Tutorial/PWM> [Accessed 14 April 2015].

In-text: (Jain, Kasturi and Schunck, 1995)

Your Bibliography: Jain, R., Kasturi, R. and Schunck, B., 1995. Machine vision. New York: McGraw-Hill, pp.459 - 491.

In-text: (Jepson and Fleet, 2007)

Your Bibliography: Jepson, A. and Fleet, D., 2007. Image Segmentation.

In-text: (Khan, McCane and Wyvill, 2011)

Your Bibliography: Khan, N., McCane, B. and Wyvill, G., 2011. SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset. 2011 International Conference on Digital Image Computing: Techniques and Applications,.

In-text: (Krizhevsky, 2009)

Your Bibliography: Krizhevsky, A., 2009. Learning Multiple Layers of Features from Tiny Images. [online] Available at: <http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf> [Accessed 22 April 2015].

In-text: (Krizhevsky, 2009)

Your Bibliography: Krizhevsky, A., 2009. Sample CIFAR-10 images. [image] Available at: <http://www.cs.toronto.edu/~kriz/cifar.html> [Accessed 22 April 2015].

In-text: (Lai, Bo and Fox, 2014)

Your Bibliography: Lai, K., Bo, L. and Fox, D., 2014. Unsupervised Feature Learning for 3D Scene Labeling. In: IEEE International Conference on Robotics and Automation (ICRA). [online] Available at: <http://homes.cs.washington.edu/~sunyuyin/paper/hmp3d-icra-2014.pdf> [Accessed 23 April 2015].

In-text: (Lai, Bo, Ren and Fox, 2012)

Your Bibliography: Lai, K., Bo, L., Ren, X. and Fox, D., 2012. Detection-based object labeling in 3D scenes. 2012 IEEE International Conference on Robotics and Automation,.

In-text: (Lee, Grosse, Ranganath and Ng, 2009)

Your Bibliography: Lee, H., Grosse, R., Ranganath, R. and Ng, A., 2009. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09,.

In-text: (Leffingwell, 2010)

Your Bibliography: Leffingwell, D., 2010. Agile Software Requirements: Lean Requirements Practices for Teams, Programs, and the Enterprise. Addison-Wesley Professional, pp.17 - 26.

In-text: (Lillywhite, Lee, Tippetts and Archibald, 2013)

Your Bibliography: Lillywhite, K., Lee, D., Tippetts, B. and Archibald, J., 2013. A feature construction method for general object recognition. Pattern Recognition, 46(12), pp.3300-3314.

In-text: (Lowe, 1999)

Your Bibliography: Lowe, D., 1999. Object recognition from local scale-invariant features. Proceedings of the Seventh IEEE International Conference on Computer Vision,.

In-text: (Lowe, 2004)

Your Bibliography: Lowe, D., 2004. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60(2), pp.91-110.

In-text: (Lukaszuk and Orlandic, 2004)

Your Bibliography: Lukaszuk, J. and Orlandic, R., 2004. Efficient high-dimensional indexing by superimposing space-partitioning schemes. Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04.,.

In-text: (Marr and Nishihara, 1978)

Your Bibliography: Marr, D. and Nishihara, H., 1978. Representation and Recognition of the Spatial Organization of Three-Dimensional Shapes. Proceedings of the Royal Society B: Biological Sciences, 200(1140), pp.269-294.

In-text: (McConnell, 1996)

Your Bibliography: McConnell, S., 1996. Rapid development. Redmond, Wash.: Microsoft Press, p.72.

In-text: (Pedersen, 2011)

Your Bibliography: Pedersen, J., 2011. SURF: Feature detection & description. [online] Available at: <http://cs.au.dk/~jtp/SURF/report.pdf> [Accessed 3 April 2015].

In-text: (Pinto, Cox and DiCarlo, 2008)

Your Bibliography: Pinto, N., Cox, D. and DiCarlo, J., 2008. Why is Real-World Visual Object Recognition Hard?. PLoS Computational Biology, 4(1), p.e27.

In-text: (Raina et al., 2007)

Your Bibliography: Raina, R., Battle, A., Lee, H., Packer, B. and Ng, A., 2007. Self-taught learning. Proceedings of the 24th international conference on Machine learning - ICML '07,.

In-text: (Raspberry Pi 2 on sale now at $35 | Raspberry Pi, 2015)

Your Bibliography: Raspberrypi.org. 2015. Raspberry Pi 2 on sale now at $35 | Raspberry Pi. [online] Available at: <https://www.raspberrypi.org/raspberry-pi-2-on-sale/> [Accessed 21 April 2015].

In-text: (Roberts, 1960)

Your Bibliography: Roberts, L., 1960. Pattern recognition with an adaptive network. In: IRE International Convention Record. pp.pt 2, pp. 66-70.

In-text: (Ultra Sonic range measurement module - Wiki, 2014)

Your Bibliography: Seeedstudio.com. 2014. Ultra Sonic range measurement module - Wiki. [online] Available at: <http://www.seeedstudio.com/wiki/index.php?title=Ultra_Sonic_range_measurement_module#Hardware_Installation> [Accessed 14 April 2015].

In-text: (Shah, 2012)

Your Bibliography: Shah, M., 2012. CAP 5415 Computer Vision Fall 2012 - Lecture-5.

In-text: (Silpa-Anan and Hartley, 2008)

Your Bibliography: Silpa-Anan, C. and Hartley, R., 2008. Optimised KD-trees for fast image descriptor matching. 2008 IEEE Conference on Computer Vision and Pattern Recognition, [online] Available at: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4587638> [Accessed 4 April 2015].

In-text: (Magnetic Microbots to Fight Cancer - IEEE Spectrum, 2015)

Your Bibliography: Spectrum.ieee.org. 2015. Magnetic Microbots to Fight Cancer - IEEE Spectrum. [online] Available at: <http://spectrum.ieee.org/robotics/medical-robots/magnetic-microbots-to-fight-cancer> [Accessed 25 March 2015].

In-text: (Tao et al., 2010)

Your Bibliography: Tao, Y., Skubic, M., Han, T., Xia, Y. and Chi, X., 2010. Performance Evaluation of SIFT-Based Descriptors for Object Recognition. In: Proceedings of the International MultiConference of Engineers and Computer Scienctists.

In-text: (Tarr and Vuong, 2002)

Your Bibliography: Tarr, M. and Vuong, Q., 2002. Vsual Object Recognition. In: H. Pashler and S. Yantis, ed., Stevens' Handbook of Experimental Psychology, 3rd ed. New York: John Wiley & Sons.

In-text: (TechnologyUK, n.d.)

Your Bibliography: TechnologyUK, n.d. The Waterfall life cycle model. [image] Available at: <http://www.technologyuk.net/computing/sad/waterfall_model.shtml> [Accessed 28 March 2015].

In-text: (Weber, Schek and Blott, 1998)

Your Bibliography: Weber, R., Schek, H. and Blott, S., 1998. A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces. In: VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases. [online] San Francisco: Morgan Kaufmann Publishers Inc., pp.194 - 205. Available at: <http://www-db.deis.unibo.it/courses/SI-LS/papers/WSB98.pdf> [Accessed 23 April 2015].

In-text: (Wu, Zhu and Tu, 2014)

Your Bibliography: Wu, J., Zhu, J. and Tu, Z., 2014. Reverse Image Segmentation: A High-Level Solution to a Low-Level Task. In: Proc. of British Machine Vision Conference (BMVC).

In-text: (Wyngaard, 2013)

Your Bibliography: Wyngaard, A., 2013. Logitech C270 webcam - adjustable focus. [online] CitiScan. Available at: <https://citiscan.wordpress.com/2013/10/29/logitech-c270-webcam-modification/> [Accessed 11 April 2015].

In-text: (Yan Ke and Sukthankar, 2004)

Your Bibliography: Yan Ke and Sukthankar, R., 2004. PCA-SIFT: a more distinctive representation for local image descriptors. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.,.