List of papers

Aanæs, H., Dahl, A.L. and Pedersen, K.S. (2011): Interesting Interest Points - A Survey of Interest Point Performance on a Unique Data Set. International Journal of Computer Vision, 2011.
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Dahl, A.L., Aanæs, H. and Pedersen, K.S. (2011): Finding the Best Feature Detector-Descriptor Combination. 3DIMPVT, 2011.
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Dahl, A.L. and Larsen R. (2011): Learning Dictionaries of Discriminative Image Patches. BMVC, 2011.
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A. Kårsnäs, A. Dahl, R. Larsen (2011): Learning Histopathological Patterns, MICCAI workshop on Histopathology Image Analysis, 2011.
To appear bibtex

A. Kårsnäs, Dahl, A.L. and Larsen R. (2011): Learning Histopathological Patterns. To appear in Journal of Pathology Imaging.
To appear. bibtex

J. Skytte, A. Dahl, R. Larsen, L. Christensen, B. Ersbøll (2011): Classication Methods for CT-Scanned Carcass Midsections : A Study of Noise Stability, Proceedings of the Scandinavian Workshop on Imaging Food Quality, 2011.
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O.H.A. Nielsen, A.L. Dahl, R. Larsen, F. Møller, F. Nielsen, C. Thomsen, H. Aanæs, J. Carstensen (2011): In Depth Analysis of Food Structures: Hyperspectral Subsurface Laser Scattering, Proceedings of the Scandinavian Workshop on Imaging Food Quality, 2011.
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Bespalov, D., Dahl, A. L., Bing, B., and Shokoufandeh, A. (2011): On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding. SCIA, 2011.
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Dahl, A. L., Jørgensen, T. M., and Larsen, R. (2011): A Deformable Model for Bringing Particles in Focus. Lecture Notes in Computer Science, 2011.
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Aanæs, H., Dahl, A.L. and Pedersen, K.S. (2010): On Recall Rate of Interest Point Detectors. 3DPVT, 2010 (Best paper award).
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Dahl, A.L., Jørgensen, T.M., Gundu, P.N., Larsen, R. (2010): Shape and Size from the Mist: A Deformable Model for Particle Characterization. VISAPP, 2010.
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Bespalov, D., Dahl, A.L. and Shokoufandeh, A. (2010): Geometric Total Variation for Texture Deformation. ICPR, 2010.
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Darkner, S., Dahl, A.L., Larsen, R., Skimminge, A., Møller, J. and Garde, E. (2010): Segmentation by Large Scale Hypothesis Testing - Segmentation as Outlier Detection. VISAPP, 2010.
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Dahl, A.B., Bogunovich, P. and Shokoufandeh, A. (2009): Texture Segmentation by Contractive Decomposition and Planar Grouping. GBR, 2009.
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Dahl, A.B. and Aanaes, H. (2008): Effective Image Database Search via Dimensionality Reduction. CVPR, Workshop on Internet Vision, 2008.
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Dahl, A.B., Aanaes, H., Larsen, R. and Ersboell, B.K. (2007): Classification of Biological Objects using Active Appearance Modelling and Color Cooccurrence Matrices. SCIA, 2007.
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PhD thesis

Dahl, A.B. (2009): Computer Vision for Timber Harvesting. DTU 2009, PhD thesis.
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Projects

Center for Imaging Food Quality - CIFQ

In the CIFQ project we develop methods for automated food inspection with the use of advanced light and camera technologies. The research concerns both development and design of vision systems and analysis methods.

August 2010


Robot Image Data

We have compiled an image database for computer vision benchmark which can be downloaded. The idea is to have an image data base showing a variation close to what is found in the real world, and have precise knowledge about camera position, light, 3D surface structure and a variation of scenes.

August 2010

Provaen

Provaen is an EU financed project where and endscopic particle analysis system has been developed. The system consists of a probe with a camea and a light source, which can be inserted into an industrial process for particle inspection. An example could be cement production, where information about the size, shape and distribution of particles is important. My part in the project is developing computer vision methods for particle analysis. The project includes particle detection, segmentation, shape analysis and other vision applications.

December 2009

Papers

Texture segmentation








Dahl, A.B., Bogunovich, P. and Shokoufandeh, A. (2009): Texture Segmentation by Contractive Decomposition and Planar Grouping pdf bibtex

Image retrieval








Dahl, A.B. and Aanaes, H. (2008): Effective Image Database Search via Dimensionality Reduction

Classification of biological objects








Dahl, A.B., Aanaes, H., Larsen, R. and Ersboell, B.K. (2007): Classification of Biological Objects using Active Appearance Modelling and Color Cooccurrence Matrices