Travelled to:
1 × Brazil
1 × China
1 × Japan
1 × Korea
1 × Spain
3 × USA
Collaborated with:
Y.Hotta S.Naoi Y.Fujii K.Fujimoto J.Sun M.Suwa H.Tanaka A.Minagawa Y.Katsuyama N.Ozawa H.Yokota X.Yin K.Kurokawa
Talks about:
imag (6) document (4) method (3) camera (3) base (3) parallel (2) correct (2) charact (2) robust (2) rectif (2)
Person: Hiroaki Takebe
DBLP: Takebe:Hiroaki
Contributed to:
Wrote 10 papers:
- ICPR-2012-MinagawaKTH #automation #detection
- A color chart detection method for automatic color correction (AM, YK, HT, YH), pp. 1912–1915.
- DRR-2011-FujiiTTH #keyword #retrieval #robust
- Robust keyword retrieval method for OCRed text (YF, HT, HT, YH), pp. 1–10.
- ICDAR-2011-TanakaTH #documentation #optimisation #robust
- Robust Cell Extraction Method for Form Documents Based on Intersection Searching and Global Optimization (HT, HT, YH), pp. 354–358.
- ICDAR-2009-SunNFTH #detection #image #string
- Trinary Image Mosaicing Based Watermark String Detection (JS, SN, YF, HT, YH), pp. 306–310.
- DRR-2007-Fujimoto0TSN #documentation #image #parallel
- Shape from parallel geodesics for distortion correction of digital camera document images (KF, JS, HT, MS, SN).
- ICDAR-2007-FujimotoSTSN #documentation #image #parallel #programming #using
- Curved paper rectification for digital camera document images by shape from parallel geodesics using continuous dynamic programming (KF, JS, HT, MS, SN), pp. 267–271.
- ICDAR-2007-MinagawaFTF #analysis #image #layout #logic
- Logical Structure Analysis for Form Images with Arbitrary Layout by Belief Propagation (AM, YF, HT, KF), pp. 714–718.
- ICDAR-2007-YinSNFFKT #documentation #image #mobile #multi
- A Multi-Stage Strategy to Perspective Rectification for Mobile Phone Camera-Based Document Images (XCY, JS, SN, KF, YF, KK, HT), pp. 574–578.
- ICDAR-2005-HottaTSN #recognition #word
- Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer (YH, HT, MS, SN), pp. 685–689.
- DRR-2004-OzawaTKNY #identification #image
- Slide identification for lecture movies by matching characters and images (NO, HT, YK, SN, HY), pp. 74–81.