Publications
208 results found
Rivera-Rubio J, Idrees S, Alexiou I, et al., 2014, Small Hand-held Object Recognition Test (SHORT), Pages: 524-531
Kis Z, Towhidi L, Ip H, et al., 2014, An in-situ electroporation and flow device for mechanotransduction studies, Microarrays: Principles, Applications and Technologies, Editors: James V Rogers, Pages: 49-68, ISBN: 978-1-62948-669-7
Rivera-Rubio J, Alexiou I, Bharath A, et al., 2014, Associating locations from wearable cameras
In this paper, we address a specific use-case of wearable or hand-held camera technology: indoor navigation. We explore the possibility of crowd-sourcing navigational data in the form of video sequences that are captured from wearable or hand-held cameras. Without using geometric inference techniques (such as SLAM), we test video data for navigational content, and algorithms for extracting that content. We do not include tracking in this evaluation; our purpose is to explore the hypothesis that visual content, on its own, contains cues that can be mined to infer a person's location. We test this hypothesis through estimating positional error distributions inferred during one journey with respect to other journeys along the same approximate path. The contributions of this work are threefold. First, we propose alternative methods for video feature extraction that identify candidate matches between query sequences and a database of sequences from journeys made at different times. Secondly, we suggest an evaluation methodology that estimates the error distributions in inferred position with respect to a ground truth. We assess and compare standard approaches from the field of image retrieval, such as SIFT and HOG3D, to establish associations between frames. The final contribution is a publicly available database comprising over 90,000 frames of video-sequences with positional ground-truth. The data was acquired along more than 3 km worth of indoor journeys with a hand-held device (Nexus 4) and a wearable device (Google Glass).
Belz A, Bharath A, 2014, The Last 10 Metres: Using Visual Analysis and Verbal Communication in Guiding Visually Impaired Smartphone Users to Entrances, Pages: 118-120
Alexiou I, Bharath AA, 2014, Spatio-chromatic Opponent Features, 13th European Conference on Computer Vision (ECCV), Publisher: SPRINGER INTERNATIONAL PUBLISHING AG, Pages: 81-95, ISSN: 0302-9743
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- Citations: 3
Rivera-Rubio J, Idrees S, Alexiou I, et al., 2014, A dataset for hand-held object recognition, Pages: 4-pages
Rivera-Rubio J, Idrees S, Alexiou I, et al., 2014, A DATASET FOR HAND-HELD OBJECT RECOGNITION, IEEE International Conference on Image Processing (ICIP), Publisher: IEEE, Pages: 5881-5885, ISSN: 1522-4880
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- Citations: 3
Peiffer V, Bharath AA, Sherwin SJ, et 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
Hadjilucas L, Bharath AA, Ignatovic A, et al., 2013, Features for the Optical Biopsy of Colorectal Polyps, Pages: 73-78
Rivera-Rubio J, Idrees S, Alexiou I, et 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
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- Citations: 4
Alexiou I, Bharath AA, 2012, Efficient Kernels Couple Visual Words Through Categorical Opponency, 23rd British Machine Vision Conference, Publisher: B M V A PRESS
Alexiou I, Bharath A, Engin Z, 2012, Categorisation performance using VI spatial cRF simulations, Publisher: PION LTD, Pages: 365-365, ISSN: 0301-0066
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
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- Citations: 1
Cao S, Bharath AA, Parker KH, et 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
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- Citations: 2
Iftikhar S, 2011, Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images using Machine Learning Approach
This paper presents the application of Support Vector Machines(SVMs) as a classifier for segmentation of thin boundaries ofEndothelial Cells (ECs) in stained tissue.
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
Iftikhar S, Bond AR, Wagan AI, et al., 2011, Segmentation of endothelial cell boundaries of rabbit aortic images using a machine learning approach., Int J Biomed Imaging, Vol: 2011
This paper presents an automatic detection method for thin boundaries of silver-stained endothelial cells (ECs) imaged using light microscopy of endothelium mono-layers from rabbit aortas. To achieve this, a segmentation technique was developed, which relies on a rich feature space to describe the spatial neighbourhood of each pixel and employs a Support Vector Machine (SVM) as a classifier. This segmentation approach is compared, using hand-labelled data, to a number of standard segmentation/thresholding methods commonly applied in microscopy. The importance of different features is also assessed using the method of minimum Redundancy, Maximum Relevance (mRMR), and the effect of different SVM kernels is also considered. The results show that the approach suggested in this paper attains much greater accuracy than standard techniques; in our comparisons with manually labelled data, our proposed technique is able to identify boundary pixels to an accuracy of 93%. More significantly, out of a set of 56 regions of image data, 43 regions were binarised to a useful level of accuracy. The results obtained from the image segmentation technique developed here may be used for the study of shape and alignment of ECs, and hence patterns of blood flow, around arterial branches.
Cao S, Bharath A, Parker K, et al., 2011, Joint Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 2618-2621, ISSN: 1557-170X
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- Citations: 1
Cao S, Bharath AA, Parker KH, et al., 2011, Spatio-Temporal Registration and Microvasculature Segmentation of Retinal Angiogram Sequences., Publisher: BMVA, Pages: 293-298
Bond AR, Iftikhar S, Bharath AA, et al., 2011, Morphological Evidence for a Change in the Pattern of Aortic Wall Shear Stress With Age, Arterioscler Thromb Vasc Biol, Pages: ATVBAHA.110.219683-ATVBAHA.110.219683
Objective–The distribution of atherosclerosis around branch sites changes with age in human and rabbit aortas. We tested whether that reflects a change in the pattern of wall shear stress by examining shear-dependent morphological features of endothelial cells. Methods and Results–Endothelial cells and their nuclei align and elongate with applied shear. These parameters were examined in the descending thoracic aorta of immature and mature rabbits. The use of Hautchen preparations, fluorescent stains, and automated image analysis allowed nuclear morphology to be mapped reliably at high resolution over large areas. Cells and their nuclei were most elongated downstream of branch ostia in immature aortas but upstream of them in mature aortas. Elongation was generally greater in mature animals, and nuclei aligned toward the ostia more in these animals, consistent with a greater flow into the branch. Morphology away from branches was indicative of helical flow in the aorta, with greatest shear on the dorsal wall, at both ages. Conclusion–The data are consistent with age-related changes in the pattern of shear around aortic branches. Maps of nuclear elongation closely resembled maps of lesion frequency. The association was positive, implying that lesions occur at sites of high shear stress at both ages.
Varnavas A, Argyriou V, Ng J, et al., 2010, Dense photometric stereo reconstruction on many core GPUs, Pages: 59-65
Photometric stereo algorithms are used in many applications for the 3D reconstruction of scenes from a number of 2D images, illuminated by calibrated light sources of different directions. However, the widely used assumption that the direction of the light remains constant across all pixels of the image usually induces reconstruction errors. We propose here a 'dense' photometric stereo algorithm that uses information about the direction of the light in a per pixel basis, to reduce the reconstruction errors. In order to compensate for the linear with the number of pixels increase in the complexity of the proposed algorithm, we present here an efficient parallel implementation in the Compute Unified Device Architecture (CUDA) of NVidia. We exploit the fact that the increase in the complexity of the proposed algorithm comes from the repetition of identical, independent arithmetic operations, to boost its speed in a parallel environment of a Single Instruction, Multiple Thread (SIMT) fashion as provided by CUDA. The results produced by the 'dense' photometric stereo algorithm indicate a better reconstruction accuracy, whereas the proposed parallel GPU implementation provides a considerable increase in speed when compared to a serial CPU version of the algorithm. © 2010 IEEE.
Ignjatovic A, Varnavas A, East JE, et al., 2010, Computer Aided Polyp Characterisation, Digestive Disease Week/111th Annual Meeting of the American-Gastroenterological-Association, Publisher: MOSBY-ELSEVIER, Pages: AB240-AB241, ISSN: 0016-5107
Ip HMD, Drakakis EM, Bharath AA, 2010, Silicon experimentation of first order TDCNN dynamics, 12th International Workshop on Cellular Nanoscale Networks and Their Applications (CNNA), Publisher: IEEE, Pages: 1-6
Dente E, Bharath A, Ng J, 2009, A jump-diffusion particle filter for tracking grouped and fragmented objects, Pages: 1 -6-1 -6
Engin Z, Ng J, Barahona M, et al., 2009, An analysis of the Map Seeking Circuit and Monte Carlo extensions, Pages: 2929 -2932-2929 -2932, ISSN: 1520-6149
The Map Seeking Circuit (MSC) has been suggested to address the inverse problem of transformation discovery as found in signal processing, vision, inverse kinematics and many other natural tasks. According to this idea, a parallel search in the transformation space of a high dimensional problem can be decomposed into parts efficiently using the ordering property of superpositions. Deterministic formulations of the circuit have been suggested. Here, we provide a probabilistic interpretation of the architecture whereby the superpositions of the circuit are seen as a series of marginalisations over parameters of the transform. Based on this, we interpret the weights of the MSC as importance weights. The latter suggests the incorporation of Monte-Carlo approaches in the MSC, providing improved resolution of parameter estimates within resource constrained implementations. As a final contribution, we model mixed serial/parallel search strategies of biological vision to reduce the problem of collusions, a common problem in the standard MSC approach.
Ip HMD, Drakakis EM, Bharath AA, 2009, A 19nW analogue CMOS log-domain 6-th order Bessel filter without E-minus cells, Microelectronics Journal, Vol: 40, Pages: 1170-1174, ISSN: 0026-2692
Dente E, Bharath A, Ng J, 2009, A JUMP-DIFFUSION PARTICLE FILTER FOR TRACKING GROUPED AND FRAGMENTED OBJECTS, 16th International Conference on Digital Signal Processing, Publisher: IEEE, Pages: 1038-1043
Iftikhar S, Bharath AA, 2009, Cell boundary analysis using radial search for dual staining techniques, Publisher: SPIE, Pages: 72593M-72593M
Ip HMD, Drakakis EM, Bharath AA, 2008, Synthesis of nonseparable 3-D spatiotemporal bandpass filters on analog networks, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol: 55, Pages: 298-310, ISSN: 1549-8328
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