Travelled to:1 × Australia
1 × Spain
1 × Sweden
1 × Turkey
1 × USA
2 × United Kingdom
Collaborated with:L.Krüger U.Kressel ∅ B.Heisele M.Hahn J.K.Anlauf M.Lenoch S.Herbort A.Grumpe A.Kuhl E.Kafer C.Hermes F.Kummert H.J.Ritter
Talks about:recognit (3) pedestrian (2) tempor (2) spatio (2) shape (2) use (2) reconstruct (1) reproduct (1) algorithm (1) scenario (1)
Person: Christian Wöhler
DBLP: W=ouml=hler:Christian
Contributed to:
2014201020082004200420001998Wrote 7 papers:
- ICPR-2014-LenochHGW #3d #linear
- Linear Unmixing in BRDF Reproduction and 3D Shape Recovery (ML, SH, AG, CW), pp. 2071–2076.
- ICPR-2010-KaferHWKR #predict #recognition
- Recognition and Prediction of Situations in Urban Traffic Scenarios (EK, CH, CW, FK, HJR), pp. 4234–4237.
- ICPR-2008-HahnKW #3d #algorithm #estimation #using
- Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm (MH, LK, CW), pp. 1–4.
- ICPR-v2-2004-Wohler #3d #re-engineering #self
- 3D Surface Reconstruction by Self-Consistent Fusion of Shading and Shadow Features (CW), pp. 204–207.
- ICPR-v3-2004-KuhlKWK #classification #using
- Training of Classifiers Using Virtual Samples Only (AK, LK, CW, UK), pp. 418–421.
- ICPR-v2-2000-WohlerKA #classification #image #recognition #sequence
- Pedestrian Recognition by Classification of Image Sequences — Global Approaches vs. Local Spatio-Temporal Processing (CW, UK, JKA), pp. 2540–2544.
- ICPR-1998-HeiseleW #recognition
- Motion-based recognition of pedestrians (BH, CW), pp. 1325–1330.