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Items where Author is "Klaudiny, M"

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Number of items: 13.

Article

Klaudiny, M and Hilton, A (2014) Error analysis of photometric stereo with colour lights Pattern Recognition Letters, 48. pp. 81-92.

Budd, C, Huang, P, Klaudiny, M and Hilton, A (2013) Global non-rigid alignment of surface sequences International Journal of Computer Vision, 102 (1-3). pp. 256-270.

Budd, C, Huang, P, Klaudiny, M and Hilton, A (2012) Global Non-rigid Alignment of Surface Sequences International Journal of Computer Vision.

Conference or Workshop Item

Malleson, C, Klaudiny, M, Guillemaut, J-Y and Hilton, A (2014) Structured Representation of Non-Rigid Surfaces from Single View 3D Point Tracks.

Michiels, N, Put, J, Haber, T, Klaudiny, M and Bekaert, P (2013) High-order wavelets for hierarchical refinement in inverse rendering.

Malleson, C, Klaudiny, M, Hilton, A and Guillemaut, J-Y (2013) Single-view RGBD-based reconstruction of dynamic human geometry In: IEEE International Conference on Computer Vision Workshops (ICCVW 2013), 2013-12-02 - 2013-12-08, Sydney, NSW.

Budd, C, Guillemaut, J, Klaudiny, M and Hilton, A (2012) Scene Modelling for Richer Media Content In: 2012 NEM SUMMIT, 2012-09-29 - 2012-09-30.

Klaudiny, M, Budd, C and Hilton, A (2012) Towards Optimal Non-rigid Surface Tracking In: 12th European Conference on Computer Vision (ECCV), 2012-10-07 - 2012-10-13, Florence, ITALY.

Klaudiny, M and Hilton, A (2012) High-detail 3D capture and non-sequential alignment of facial performance In: 3DIMPVT, 2012-10-13 - 2012-10-15, Zurich.

Klaudiny, M and Hilton, A (2012) High-fidelity facial performance capture with non-sequential temporal alignment.

Klaudiny, M and Hilton, A (2011) Cooperative patch-based 3D surface tracking

Haccius, C, Herfet, T, Matvienko, V, Eisert, P, Feldmann, I, Hilton, A, Guillemaut, J-Y, Klaudiny, M, Jachalsky, J and Rogmans, S A NOVEL SCENE REPRESENTATION FOR DIGITAL MEDIA In: NEM Summit, 2013 - ?.

Dataset

Klaudiny, M, Tejera, M, Malleson, C, Guillemaut, J-Y and Hilton, A SCENE Digital Cinema Datasets [Dataset]

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