British Machine Vision Association and Society for Pattern Recognition
3-D SURFACE & VOLUME TEXTURE
One Day BMVA Technical Meeting in association with IEE/E4 to be held on 1st November 2000 at British Institute of Radiology, 36 Portland Place, London.
Chairpersons: Maria Petrou (Surrey); Mike Chantler (Heriot-Watt)
Image texture may result from variation in surface albedo (e.g. a printed pattern on a flat surface) or variation in surface relief (e.g. a uniformly coloured but embossed wall paper). Texture classification research has focused in the past on image texture, rather than on the underlying properties of the surface or the effect that the imaging system has on the image. However, exciting new developments that use surface information are now beginning to emerge and these are being coupled with traditional rough surface theory. Such developments can radically improve both the robustness and accuracy of texture classification systems. In addition, modern data collection techniques now yield data that refer to points distributed in volume. Variation of such data constitutes volume texture. Although such texture is difficult to perceive and visualise, it offers an additional cue for the analysis of such data with applications as diverse as medicine and geosciences.
This meeting will discuss recent advances in research concerning both these types of three dimensional texture.
10:30 Registration and coffee
10:55 Introduction and welcome, Maria Petrou, Surrey University
11:00 Photometric texture analysis, Mike Chantler, Ged McGunnigle and Jerry Wu, Heriot Watt University
11:30 Innovative techniques for the isolation and analysis of concomitant two and three-dimensional texture features, Abdul Farooq, University of the West of England
12.00 3D texture analysis for function-based engineering surface Inspection, Gui Yun Tian, University of Huddersfield
12:30 Shape-from-Texture using Local Affine Distortion, Eraldo Ribeiro and Edwin R. Hancock, University of York
14:00 Photometric invariant statistics of rough surfaces (Provisional title)
Maria Petrou and Maria Faraklioti (Surrey Uni)
14:30 Fractal Characterization of Hypervolume Textures, Sébastien Deguy, Université d'Auvergne, France, and Albert Benassi Université Blaise Pascal, France.
15:30 Shape from texture: homogeneity revisited, Antonio Criminisi and Andrew Zisserman (University of Oxford)
16:00 Texture Analysis Based on Affine Warping, Andrew Calway (University of Bristol)
16:30 Summary and discussion
16:40 Closing remarks and finish
Please return this form to Leanne Pring, Tel 0114 272 0306, Fax 0114 272 6158 or via email to BMVA@roystonparkin.co.uk. The meeting is free to members of the BMVA, or IEE but a charge of £20 is payable by non-members. When registering please enclose a cheque for the appropriate amount made payable to "The British Machine Vision Association".NAME: .
BMVA MEMBER: YES/NO
Title: Photometric texture analysis,
Abstract to be supplied.
Further information can be found at: http://www.cee.hw.ac.uk/~mjc/texture/index.html
A review of published work relating to texture inspection, analysis and classification has been undertaken. It is evident that various definitions of 'texture' are presently in widespread use. Work undertaken here at UWE, Bristol has identified the need for a formal definition and texture taxonomy. Most researches are concerned with the analysis of 2D images, as a consequence their techniques are largely viewer-centred, and require strict environmental structuring. Further complexities include surfaces, natural or synthetic, that consist of mixed chromatic and topographic features.
The presentation will provide a brief overview of the innovative work at UWE, which is concerned, with the development of techniques for the isolation and analysis of concomitant two and three-dimensional texture features. These techniques have been based on novel adaptations of the photometric stereo method and are object-centred, relatively object pose invariant, and flexible in application. There is a need to further develop the work, to improve the existing method, develop new capabilities and widen potential applications. The talk will provide an insight into the proposed content and direction of research.
Further information can be found at: http://www.uwe.ac.uk/facults/eng/research/melsmith/
In this age of texture analysis much attention is paid to the surface information rather than to decide how it performs when in use. In this paper, after review of surface metrology and 3D surface texture, the paper provides application-oriented 3D-texture analysis for functional surface characterisation where the surface representing features will reflect the surface usage functions. Based on the observation, the paper will discuss morphological approach and 3D-volume texture analysis for engineering surface down to micro scales.
The second contribution of the paper is to show how initial
orientation estimates delivered by the eigen-analysis can be refined using a process of
robust smoothing. We apply the method to a variety of real-world and synthetic imagery. We
show that the new shape-from-texture method can reliably estimate surface topography.
Our results suggest that our new treatment of the coordinate frame ambiguity problem in bundle adjustment achieves faster and more stable convergence than existing methods.
Further information can be found at: http://www-users.cs.york.ac.uk/~erh/cvprgroup/index.html
Photometric invariant statistics of rough surfaces (Provisional title),
Maria Petrou and Maria Faraklioti,
Department of Electronic and Electrical Engineering, University of Surrey, Guildford, Surrey, GU2 7XH.
Texture Analysis Based on Affine
University of Bristol
Local affine warping provides a powerful computational model in 2-D texture analysis. The classic structural model of texture based on the repetition of a basic structural element - the texton - can be enhanced by allowing local coordinate transformations (warp) of the texton at each location, reflecting either variation in the texture pattern or the structure of the underlying 3-D surface. Similarly, the perspective distortion of projected texture caused by a moving surface or camera can also be approximated well by a piecewise linear (affine) field, enabling the task of estimating motion or region correspondence to be simplified. The purpose of this talk is to give an overview of work based on such models carried out by the author over the past 5 years. This has centred around the development of a robust affine correspondence algorithm based on multiresolution frequency domain methods and its application to areas such as texture synthesis, shape-from-texture, 2-D motion estimation, and 3-D structure from 2-D motion. The talk will concentrate on the underlying models adopted and present examples from the various applications. Further details are available from relevant publications at: http://www.cs.bris.ac.uk/Tools/Reports/Authors/andrew.html