Seuraa
Anders Heyden
Anders Heyden
Professor in Mathematics, Lund University
Vahvistettu sähköpostiosoite verkkotunnuksessa maths.lth.se
Nimike
Viittaukset
Viittaukset
Vuosi
Euclidean reconstruction from image sequences with varying and unknown focal length and principal point
A Heyden, K Astrom
Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997
3511997
Euclidean reconstruction from constant intrinsic parameters
A Heyden, K Astrom
proceedings of 13th International Conference on Pattern Recognition 1, 339-343, 1996
2891996
Three‐dimensional biofilm model with individual cells and continuum EPS matrix
E Alpkvist, C Picioreanu, MCM Van Loosdrecht, A Heyden
Biotechnology and bioengineering 94 (5), 961-979, 2006
2742006
An iterative factorization method for projective structure and motion from image sequences
A Heyden, R Berthilsson, G Sparr
Image and Vision Computing 17 (13), 981-991, 1999
1841999
Feature-free registration of dissimilar images using a robust similarity metric
M Pettersson, A Rosenqvist, A Heyden, M Almers
US Patent 6,268,611, 2001
1322001
Reconstruction from image sequences by means of relative depths
A Heyden
International journal of computer vision 24 (2), 155-161, 1997
1061997
Minimal conditions on intrinsic parameters for euclidean reconstruction
A Heyden, K Åkström
Asian Conference on Computer Vision, 169-176, 1998
1021998
Flexible calibration: Minimal cases for auto-calibration
A Heyden, K Astrom
Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999
871999
Projective structure and motion from image sequences using subspace methods
A Heyden
Proceedings of the Scandinavian Conference on Image Analysis 2, 963-968, 1997
861997
Geometry and algebra of multiple projective transformations
A Heyden
Lund Institute of Technology, Department of Mathematics, 1995
861995
Algebraic properties of multilinear constraints
A Heyden, K Åström
Mathematical Methods in the Applied Sciences 20 (13), 1135-1162, 1997
831997
Towards grading gleason score using generically trained deep convolutional neural networks
H Källén, J Molin, A Heyden, C Lundström, K Åström
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016
822016
A common framework for multiple view tensors
A Heyden
Computer Vision—ECCV'98: 5th European Conference on Computer Vision …, 1998
821998
Using conic correspondences in two images to estimate the epipolar geometry
F Kahl, A Heyden
Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998
801998
Multiple view geometry
A Heyden, M Pollefeys
Emerging topics in computer vision 3, 45-108, 2005
772005
A fast algorithm for level set-like active contours
B Nilsson, A Heyden
Pattern Recognition Letters 24 (9-10), 1331-1337, 2003
692003
Affine structure and motion from points, lines and conics
F Kahl, A Heyden
International Journal of Computer Vision 33, 163-180, 1999
661999
Covariance propagation and next best view planning for 3d reconstruction
S Haner, A Heyden
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
612012
Degenerate cases and closed-form solutions for camera calibration with one-dimensional objects
P Hammarstedt, P Sturm, A Heyden
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
612005
Segmentation of complex cell clusters in microscopic images: Application to bone marrow samples
B Nilsson, A Heyden
Cytometry Part A: The Journal of the International Society for Analytical …, 2005
532005
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Artikkelit 1–20