Interesting Interest Points

Autor: Anders Lindbjerg Dahl, Henrik Aanæs, Kim Steenstrup Pedersen

Publikováno v: International Journal of Computer Vision. 97:18-35

Not all interest points are equally interesting. The most valuable interest points lead to optimal performance of the computer vision method in which they are employed. But a measure of this kind will be dependent on the chosen vision application. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73d2d33d9cd4efdb17cb1639bf573767
https://doi.org/10.1007/s11263-011-0473-8

Dynamically constrained pipeline for tracking neural progenitor cells

Autor: Jacob S. Vestergaard, Rasmus Larsen, Peter Holm, Anders Lindbjerg Dahl

Publikováno v: Medical Imaging: Digital Pathology

Large scale in vitro cell growth experiments require automated segmentation and tracking methods to construct cell lineages in order to aid cell biologists in further analysis. Flexible segmentation algorithms that easily adapt to the specific type o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af66469478019c6895951f53a2a79d71
https://doi.org/10.1117/12.2006996

What Genes Tell about Iris Appearance

Autor: Stine Harder, Anders Lindbjerg Dahl, Rasmus Reinhold Paulsen, Susanne R. Christoffersen, Niels Morling, Peter Johansen, Jeppe Dyrberg Andersen, Claus Børsting

Publikováno v: Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging ISBN: 9783642366192
MCV

Predicting phenotypes based on genotypes is generally hard, but has shown good results for prediction of iris color. We propose to correlate the appearance of iris with DNA. Six single-nucleotide polymorphisms (SNPs) have previously been shown to cor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d98b497a70aaa87607e63fd509b95ac3
https://doi.org/10.1007/978-3-642-36620-8_24

Utilization of Multispectral Images for Meat Color Measurements

Autor: Camilla Himmelstrup Trinderup, Anders Lindbjerg Dahl, Jens Michael Carstensen, Kirsten Jensen, Knut Conradsen

Publikováno v: Trinderup, C H, Dahl, A L, Carstensen, J M, Jensen, K & Conradsen, K 2013, Utilization of Multispectral Images for Meat Color Measurements . in Workshop on Farm Animal and Food Quality Imaging 2013 : Espoo, Finland, June 17, 2013, Proceedings . Technical University of Denmark, Kgs. Lyngby, DTU Compute-Technical Report-2013, no. 12, pp. 42-48, Workshop on Farm Animal and Food Quality Imaging 2013, Espoo, Finland, 17/06/2013 .
Technical University of Denmark Orbit

This short paper describes how the use of multispectral imaging for color measurement can be utilized in an efficient and descriptive way for meat scientists. The basis of the study is meat color measurements performed with a multispectral imaging sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f1b290281e15ee291b3cd07054df74e4
https://orbit.dtu.dk/en/publications/utilization-of-multispectral-images-for-meat-color-measurements(ff2ef544-8bf1-4d3e-880c-540aaea1eca6).html

Finding the Best Feature Detector-Descriptor Combination

Autor: Kim Steenstrup Pedersen, Anders Lindbjerg Dahl, Henrik Aanæs

Publikováno v: 3DIMPVT

Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of work on evaluating feature detection and feature description methodology

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c0ce58d2106d170f62ff6081a73d3ee
https://doi.org/10.1109/3dimpvt.2011.47