BibSLEIGH — Michal

Travelled to:

1 × Australia
1 × Japan
1 × Sweden
1 × Turkey
1 × USA
2 × Canada
2 × United Kingdom
3 × China
3 × Spain

Collaborated with:

J.Filip S.Mikes V.Havlícek P.Vacha P.Zid ∅ M.Hatka G.Scarpa J.Grim P.Somol P.Pudil J.Stancik V.Remes M.J.Chantler D.Chetverikov M.Arnold M.Kudo

Talks about:

textur (14) model (11) segment (8) illumin (5) imag (5) unsupervis (4) colour (4) fast (4) base (4) invari (3)

Person: Michal Haindl

DBLP: Haindl:Michal

Contributed to:

2014

2012

2010

2008

2006

2004

2002

2000

1998

Wrote 26 papers:

ICPR-2014-HaindlM #contest #image #segmentation: Unsupervised Image Segmentation Contest (MH, SM), pp. 1484–1489.
ICPR-2012-FilipHS #predict: Predicting environment illumination effects on material appearance (JF, MH, JS), pp. 2075–2078.
ICPR-2012-HaindlRH #markov: Potts compound Markovian texture model (MH, VR, VH), pp. 29–32.
ICPR-2010-FilipHC: Gaze-Motivated Compression of Illumination and View Dependent Textures (JF, MH, MJC), pp. 862–865.
ICPR-2010-HaindlH: A Compound MRF Texture Model (MH, VH), pp. 1792–1795.
ICPR-2010-HaindlH10a: Near-Regular BTF Texture Model (MH, MH), pp. 2114–2117.
ICPR-2010-VachaH #invariant #recognition: Natural Material Recognition with Illumination Invariant Textural Features (PV, MH), pp. 858–861.
ICPR-2008-FilipH #performance #segmentation #sequence #video: Fast and reliablePCA-based temporal segmentation of video sequences (JF, MH), pp. 1–4.
ICPR-2008-HaindlM #segmentation: Unsupervised mammograms segmentation (MH, SM), pp. 1–4.
ICPR-2008-HaindlM08a #benchmark #metric #segmentation: Texture segmentation benchmark (MH, SM), pp. 1–4.
ICPR-2008-VachaH #invariant #markov #random: Illumination invariants based on Markov random fields (PV, MH), pp. 1–4.
ICPR-v2-2006-GrimHSP #approach #modelling #using: A Subspace Approach to Texture Modelling by Using Gaussian Mixtures (JG, MH, PS, PP), pp. 235–238.
ICPR-v2-2006-HaindlM #approach #modelling #multi #segmentation #using: Unsupervised Texture Segmentation Using Multispectral Modelling Approach (MH, SM), pp. 203–206.
ICPR-v2-2006-ScarpaH #clustering #independence #segmentation: Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering (GS, MH), pp. 151–154.
ICPR-v3-2006-HaindlV #invariant #retrieval: Illumination Invariant Texture Retrieval (MH, PV), pp. 276–279.
ICPR-v4-2006-FilipHC #performance #synthesis: Fast Synthesis of Dynamic Colour Textures (JF, MH, DC), pp. 25–28.
ICPR-v4-2006-HaindlZ #image #multimodal #segmentation: Multimodal Range Image Segmentation by Curve Grouping (MH, PZ), pp. 9–12.
ICPR-v1-2004-FilipH #bidirectional #synthesis: Non-linear Reflectance Model for Bidirectional Texture Function Synthesis (JF, MH), pp. 80–83.
ICPR-v3-2004-HaindlFA #image #modelling: BTF Image Space Utmost Compression and Modelling Method (MH, JF, MA), pp. 194–197.
ICPR-v3-2004-HaindlGSPK: A Gaussian Mixture-Based Colour Texture Model (MH, JG, PS, PP, MK), pp. 177–180.
ICPR-v1-2002-HaindlH #multi: A Multiscale Colour Texture Model (MH, VH), p. 255–?.
ICPR-v3-2002-HaindlF #performance: Fast Restoration of Colour Movie Scratches (MH, JF), pp. 269–272.
ICPR-v1-2000-HaindlHZ #automation #modelling: Automatic Acquisition of Planar-Faced Virtual Models (MH, VH, PZ), pp. 1987–1990.
ICPR-v2-2000-Haindl #recursion: Recursive Square-Root Filters (MH), pp. 6014–6017.
ICPR-v3-2000-Haindl00a #image #modelling #recursion: Recursive Model-Based Image Restoration (MH), pp. 3346–3349.
ICPR-1998-HaindlZ #image #performance #segmentation: Fast segmentation of planar surfaces in range images (MH, PZ), pp. 985–987.