Bharath, Anil Anthony - Imperial College London

个人简介

Dr. Anil Anthony Bharath is Reader in Image Analysis, and on the Research Board of Imperial's Data Science Institute. He holds a degree in Electrical & Electronic Engineering from UCL, and obtained a PhD from Imperial College, also from the Department of Electrical & Electronic Engineering. He was appointed as Lecturer in the Department of Biological & Medical Systems at Imperial College in 1991. Between 1993 and 2003, Dr.Bharath held the posts of Hayward Lecturer, then Hayward Senior Lecturer in Medical Imaging. He was appointed to a Readership position in 2005. Dr. Bharath has published in the field of imaging, image analysis and signal processing, and has extensive experience in computer vision. In 1998, he demonstrated the first application of steerable filters to shape detection, an area of image analysis. Later contributions included the use of Bayesian marginalisation in very early-stage computer vision, focus-of-attention methods, and custom-designed wavelet transforms to analyse images in a scalable manner. The analysis of visual data, including new algorithms and system architectures, continues to be his main research interest. In 2002, Dr. Bharath initiated the Basic Technology Project "Reverse Engineering Human Visual Processes", which created a blueprint for a scalable subset of processes in the human visual system, particularly of visual area V1. In 2008, Dr. Bharath spun out the company Cortexica Vision Systems, which applies simplified models of the behaviour of visual neurons to visual search. See http://www.bicv.org/ for more details, as well as a brief discussion on how these models are related to modern convolutional neural networks.

研究领域

Historically, the research of the group had a focus on computational models of the mammalian visual cortex. Specifically, the group wavelet-based models to describe the spatial sensitivity functions of visual neurons. These models are similar in feel to Gabor models for describing simple-cell behaviour in the primate visual cortex, but were optimised for the properties of speed, precision of representation and adaptability. These properties make such models suitable for use in artificial intelligence, particularly for applications in image analysis and computer vision.

近期论文

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Ma ZB, Yang Y, Liu YX, Bharath AAet al., 2016, Recurrently decomposable 2-D convolvers for FPGA-based digital image processing, IEEE Transactions on Circuits and Systems, ISSN: 1549-7747 Othman BA, Greenwood C, Abuelela AF, Bharath AA, Chen S, Theodorou I, Douglas T, Uchida M, Ryan M, Merzaban JS, Porter AEet al., 2016, Correlative Light-Electron Microscopy Shows RGD-Targeted ZnO Nanoparticles Dissolve in the Intracellular Environment of Triple Negative Breast Cancer Cells and Cause Apoptosis with Intratumor Heterogeneity, ADVANCED HEALTHCARE MATERIALS, Vol: 5, Pages: 1310-1325, ISSN: 2192-2640 Othman BA, Greenwood C, Abuelela AF, Bharath AA, Chen S, Theodorou I, Douglas T, Uchida M, Ryan M, Merzaban JS, Porter AEet al., 2016, Targeted Cancer Therapy: Correlative Light-Electron Microscopy Shows RGD-Targeted ZnO Nanoparticles Dissolve in the Intracellular Environment of Triple Negative Breast Cancer Cells and Cause Apoptosis with Intratumor Heterogeneity (Adv. Healthcare Mater. 11/2016)., Adv Healthc Mater, Vol: 5 Rivera-Rubio J, Arulkumaran K, Rishi H, Alexiou I, Bharath AAet al., 2016, An assistive haptic interface for appearance-based indoor navigation, COMPUTER VISION AND IMAGE UNDERSTANDING, Vol: 149, Pages: 126-145, ISSN: 1077-3142 Rivera-Rubio J, Alexiou I, Bharath AA, 2015, Associating Locations Between Indoor Journeys from Wearable Cameras, 13th European Conference on Computer Vision (ECCV), Publisher: SPRINGER-VERLAG BERLIN, Pages: 29-44, ISSN: 0302-9743 Rivera-Rubio J, Alexiou I, Bharath AA, 2015, Appearance-based indoor localization: A comparison of patch descriptor performance, PATTERN RECOGNITION LETTERS, Vol: 66, Pages: 109-117, ISSN: 0167-8655 Alexiou I, Bharath AA, 2014, Spatio-chromatic Opponent Features, 13th European Conference on Computer Vision (ECCV), Publisher: SPRINGER INT PUBLISHING AG, Pages: 81-95, ISSN: 0302-9743 Kis Z, Towhidi L, Ip H, Drakakis E, Bharath A, Krams Ret al., 2014, An In situ electroporation and flow device for mechanotransduction studies, Microarrays: Principles, Applications and Technologies, Pages: 49-67, ISBN: 9781629487137 Rivera-Rubio J, Idrees S, Alexiou I, Hadjilucas L, Bharath AAet al., 2014, Small Hand-held Object Recognition Test (SHORT), IEEE Winter Conference on Applications of Computer Vision (WACV), Publisher: IEEE, Pages: 524-531 Rivera-Rubio J, Idrees S, Alexiou I, Hadjilucas L, Bharath AAet al., 2014, A dataset for hand-held object recognition, Pages: 4-pages Rivera-Rubio J, Idrees S, Alexiou I, Hadjilucas L, Bharath AAet al., 2014, A DATASET FOR HAND-HELD OBJECT RECOGNITION, IEEE International Conference on Image Processing (ICIP), Publisher: IEEE, Pages: 5881-5885, ISSN: 1522-4880 Hadjilucas L, Bharath AA, Ignatovic A, East JE, Saunders BP, Burling Det al., 2013, Features for the Optical Biopsy of Colorectal Polyps, Pages: 73-78 Peiffer V, Bharath AA, Sherwin SJ, Weinberg PDet al., 2013, A Novel Method for Quantifying Spatial Correlations Between Patterns of Atherosclerosis and Hemodynamic Factors, JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, Vol: 135, ISSN: 0148-0731 Rivera-Rubio J, Idrees S, Alexiou I, Hadjilucas L, Bharath AAet al., 2013, Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance, 17th International Conference on Image Analysis and Processing (ICIAP), Publisher: SPRINGER-VERLAG BERLIN, Pages: 30-40, ISSN: 0302-9743 Alexiou I, Bharath AA, 2012, Efficient Kernels Couple Visual Words Through Categorical Opponency, 23rd British Machine Vision Conference, Publisher: B M V A PRESS Cao S, Bharath AA, Parker KH, Ng Jet al., 2012, Patch-based Automatic Retinal Vessel Segmentation in Global and Local Structural Context, 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 4942-4945, ISSN: 1557-170X Cao S, Iftikhar S, Bharath AA, 2012, PATCH-BASED FEATURE MAPS FOR PIXEL-LEVEL IMAGE SEGMENTATION, 20th European Signal Processing Conference (EUSIPCO), Publisher: IEEE COMPUTER SOC, Pages: 2263-2267, ISSN: 2076-1465 Bond AR, Iftikhar S, Bharath AA, Weinberg PDet al., 2011, Morphological Evidence for a Change in the Pattern of Aortic Wall Shear Stress With Age, ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, Vol: 31, Pages: 543-550, ISSN: 1079-5642 Iftikhar S, Bond AR, Wagan AI, Weinberg PD, Bharath AAet al., 2011, Segmentation of endothelial cell boundaries of rabbit aortic images using a machine learning approach., Int J Biomed Imaging, Vol: 2011 Ip HMD, Drakakis EM, Bharath AA, 2011, Preliminary results from an analog implementation of first-order TDCNN dynamics, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, Vol: 39, Pages: 665-678, ISSN: 0098-9886