British Machine Vision Conference
The British Machine Vision Conference (BMVC) is the British Machine Vision Association (BMVA) annual conference on machine vision , image processing , and pattern recognition . [1] It is one of the major international conferences on computer vision and related areas hero in Great Britain. [2] [3] met name, BMVC is ranked as A2 by Qualis, and B with ERA. The upcoming 27th BMVC will be held at York University in September 2016. [4]
BMVC is a successor of the older British Alvey Vision Conference (AVC), welke had run in years 1985 ( University of Sussex ), 1987 ( University of Cambridge ), 1988 ( University of Manchester ) and 1989 ( University of Reading ). The British Machine Vision Conference has Replaced AVC in 1990, als BMVA was founded. On Despite starting as a national conference, it is now a prestigious major international venue with high level of foreign participation (in 2013, 84% of accepted papers ulcers completely from outside the UK and Another 4% with mixed authorships) and high stress on quality of publications (in 2013, the acceptance rate was only 30%). [5] BMVC is a relatief small conference, with the number of accepted publications (and Charmain Horn Please note number of talks and posters) around 100. [5]
Usual programs
BMVC is a single-track conference held Usually [6] [7] [8] over the course of one week in early September On Monday, there are Usually one or verschillende tutorials , Followed by the main conference when the following three days. A Typical Day conference consists of a keynote talk, two or three all sessions and a poster session . Thursday’s program tends to be Shorter. The conference Usually of includes a banquet and a reception . The main conference is Followed by a one-day student workshop on Friday, welke provides an opportunity for doctoral students to present hun work and interact with peers hun.
Awards
At BMVC, there are verschillende awards bepaald. Besides the Best Scientific Paper Award (formerly known as Science Prize), there is Best Industrial Paper Award (formerly known as Industry Prize), Best Poster Award and others. The awards Recipients are tabulated Projects. Additionally, other BMVA great prizes zoals BMVA Distinguished Fellowship or Sullivan Prize are Awarded prolongation BMVC.
| Year | venue | Best Scientific Paper | Best Industrial Paper | Best Poster |
|---|---|---|---|---|
| 1990 | University of Oxford | |||
| 1991 [9] | Glasgow University | Using Projective invariants for constant time library indexing in model-based vision. CA Rothwell, A. Zisserman , DA Forsyth and JL Mundy. | Detecting Intruders in image sequences. P. Rosin and T. Ellis. | Kalman filters constrained model based tracking. RF Marslin, GD Sullivan and KD Baker. |
| 1992 | University of Leeds | Training Models of Shape from kits or Examples. TF Cootes, CJ Taylor, DH Cooper and J. Graham. [10] | ||
| 1993 | University of Surrey | Automatic machine learning or Decision Rule for Classification Problems in Image Analysis. P. Pudil, J. Novovičová and J. Kittler. [11] | ||
| 1994 | University of York | Shared: Skewed Symmetry Detection Through Local Skewed Symmetries. T.-J. Cham and R. Cipolla. [12] and Image Registration Using Multi-Scale Texture Moments. J. Sato and R. Cipolla. [13] | User Programmable Visual Inspection. CJ Hunter, J. Graham and CJ Taylor. [14] | |
| 1995 | University of Birmingham | Learning Spatiotemporal Models from Examples. A. Baumberg and DC Hogg. [15] | Statistical Grey Level Models for Object Location and Identification. TFCootes, GJPage, CBJackson, CJTaylor. [10] | |
| 1996 | University of Edinburgh | Monocular Reconstruction or 3D Bilateral Symmetrical Objects. T. Tan. [16] | ||
| 1997 | University of Essex | Uncalibrated Reconstruction of Curved Surfaces. J. Sato and R. Cipolla. [13] | Correspondence Using Distinct Points Based on Image Invariants. KNWalker, TFCootes and CJTaylor. [10] | |
| 1998 [17] | University of Southampton | The precision of 3D reconstruction from uncalibrated views. E. Grossmann and JS Victor. | Applying visual processing to GPS mapping or trackside structures. D. Nicholls and D. Murray. | 3D shape modeling through a constrained estimation or a bicubic B-spline surface. X. Shen and M. Spann. |
| 1999 | University of Nottingham | Multi-view nonlinear active shape model using kernel PCA. S. Romdhani, S. Gong and A. Psarrou. [18] [19] | Learning Behaviour Models of Human Activities. A. Galata, N. Johnson and D. Hogg. [20] | |
| 2000 [21] | University of Bristol | Robust Point Correspondence with Concave Minimization. J. Maciel and J. Costiera. | Detecting lameness in Livestock Using Re-sampling Condensation and Multi-stream Cyclic Hidden Markov Models. DR Magee and RD Boyle. | A Statistical Consistency Check for the Space Carving Algorithm. A. Broadhurst and R. Cipolla. |
| 2001 [22] | University of Manchester | Recognising trajectories or facial identities using kernel discriminant analysis. Y. Li, S. Gong, H. Liddell. | Application of the active shape model in a commercial medical device for bone Densitometry. HH Thodberg and A. Rosholm. | Mathematical morphology in the HLS color space. A. Hanbury and J. Serra. |
| 2002 [23] | University of Cardiff | Robust Wide baseline stereo from Maximally Stable Extremal Regions. J. Matas, M. Urban, O. Chum and T. Pajdla. | Tightly Integrated Sensor Fusion for Robust Visual Tracking. G. Klein and T. Drummond. | Invariant Features from Point Interest Groups. M. Brown and D. Lowe. |
| 2003 [24] [25] | University of East Anglia | Synchronising image sequences or non-rigid objects. PA Tresadern and I. Reid. | Video analysis for cartoon-like special effects. JP Collomosse, D. Rowntree and PM Hall. | The art of scalespace. JA Bangham, SE Gibson and R. Harvey. |
| 2004 [26] | Kingston University | Multi-modal tracking using texture changes. C. Kemp and TW Drummond. | Shared: A Mid-Level Description of Video with Application to Non-photorealistic Animation. J. Collomosse and PM Hall. and Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition. T. Kadir, R. Bowden, EJ Ong and A. Zisserman . | An Image-Based System for Urban Navigation. D. Robertson and R. Cipolla. |
| 2005 [27] | Oxford Brookes University | Sub-linear Directory for Large Scale Object Recognition. S. Obdrzalek and J. Matas. | A Single-Frame Visual Gyroscope. G. Klein and T. Drummond. | Offline Generation of High Quality Background Subtraction Data. E. Grossmann, A. Kale, C. Jaynes and SS Cheung. |
| 2006 [28] | University of Edinburgh | Feature Detection and Tracking with Constrained Local Models. D. Cristinacce and TFCootes. | “Hello! My name is … Buffy” - Automatic naming of characters in TV video. M. Everingham J. Sivic and A. Zisserman . | Automatic Video Segmentation using spatiotemporal T-junctions. N. Apostoloff and A. Fitzgibbon. |
| 2007 [29] [30] | University of Warwick | Sparse MRF appearance models forfast Anatomical structure Localization. R. Donner, G. Along and H. Bischof. | (Not Awarded) | Towards Real-Time Traffic Sign Recognition at Class-Specific Discriminative Features. A. Ruta, Y. Li and X. Liu. |
| 2008 [31] [32] | University of Leeds | Globally Optimal O (n) Solution to the PnP Problem for General Camera Models. G. Schweighofer and A. Pinz. | Minimizing the Multi-View Stereo Reprojection Error for Triangular Surface Meshes. A. Delaunoy E. Prados, P. Gargallo, J.-P. Pons and P. Sturm. | Geometric LDA: A Generative Model for Particular Object Discovery. J. Philbin, J. and A. Sivic Zisserman. |
| 2009 [33] | University College London & Queen Mary University of London | Stochastic image denoising. F. Estrada, D. Fleet and A. Jepson. | HMM-based archive film defect detection with spatial and temporal constraints. X. Wang and M. Mirmehdi. | Shared: Guiding visual surveillance by tracking human attention. B. Benfold and I. Reid. and Reconstruction from uncalibrated affine silhouettes. P. McIlroy and T. Drummond. |
| 2010 [34] | Aberystwyth University | Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. L. Ladický, P. Sturgess, C. Russell, S. Sengupta, Y. Bastanlar, W. Clocksin, P. Torr. | High Five: Recognising human Interactions in television shows. A. Patron, M. Marszalek, A. Zisserman, I. Reid. | Action Detection in Crowd. P. Siva and T. Xiang. |
| 2011 [35] | University of Dundee | Object and action classification with latent variables. H. Bilen, V. Namboodiri and L. Van Gool. | Shared: Graph-based particle filter for human tracking with STYLISTIC variations. J. Martinez del Rincon, J.-C. Nebel and D. Makris. and Hand detection using multiple proposals. by A. Mittal, A. and P. Zisserman Torr. | |
| 2012 [36] | University of Surrey | Detection and Tracking or occluded People. S. Tang, M. Andriluka and B. Schiele. | Real-time Learning and Detection of 3D texture-less Objects: A Scalable Approach. D. Damen, P. Bunnun A. Calway and W. Mayol cuevas. | |
| 2013 [37] | University of Bristol | Metric Regression Forests for Human Pose Estimation. G. Pons-Moll, J. Taylor, J. Shotton, A. Hertzmann and A. Fitzgibbon. | Multi-view Body Part Recognition with Random Forests. Q. Kazemi, M. Burenius H. Azizpour and J. Sullivan. | Learning to approximate global shape Priors for figure-ground Segmentation. D. Kuettel and V. Ferrari. |
| 2014 [38] | University of Nottingham | Return of the Devil in the Details: mining Deep JSON convolutional Nets. K. Chatfield, K. Simonyan, A. and A. Vedaldi Zisserman. | Simultaneous Mosaicing and tracking with an Event Camera. H. Kim, A. Handa, R. Benosman, S.-H. Ieng and A. Davison. | Upper Body Pose Estimation with Temporal Sequential Forests. J. Charles, T. Pfister, D. Magee, D. Hogg and A. Zisserman. |
| 2015 [39] | Swansea University | Sketch-a-Net therein Beats Humans. Q. Yu, Y. Yang, Y. Song, T. Xiang and T. Hospedales | Deep Perceptual Mapping for Thermal to Visible Face Recognition. MS Sarfraz and R. Stiefelhagen | Robust Global Motion Compensation in Presence of predominantly Foreground. SM Safdarnejad, X. Liu and L. Udpa |
Other awards
- 1998 Demonstration Prize. Active object recognition in parametric eigenspace. M. Prantl. [17]
- 2000 Demonstration Prize. A hierarchical model of dynamics for tracking people with a single video camera. IA Karaulova, PM Hall and AD Marshall. [21]
- 2001 Demonstration Prize. Video image enhancement for terrestrial, aerial and underwater environments. J. Oakley