Abstract book (pdf) - ICPR 2010

16:20-16:40, Paper WeCT5.3
Development of a High-Definition and Multispectral Image Capturing System for Digital Archiving of Early Modern
Tapestries of the Kyoto Gion Festival
Tsuchida, Masaru, NTT Corp.
Tanaka, Hiromi, Ritsumei Univ.
Yano, Keiji, Ritsumeikan Univ.
We developed a two-shot 6-band image capturing system consisting of a large-format camera, a customized interference
filter, and a scanning digital back to capture a 185-M-pixel images. The interference filter is set in front of the camera lens
to obtain a 6-band image, that is, two 3-band images, one taken with the filter and the other without it. After correction of
optical aberrations caused by the interference filter as well as system arrangement errors, the two images are combined
into a 6-band image. The 6-band image was converted into a color-managed RGB image embedded ICC profile. In experiments,
object images were captured as several divided parts and synthesized as almost 500-M-pixel image by using an
image stitching technique. Resolution of the captured images is 0.02 mm/pixel. This paper discusses the camera system
with its focus on some early modern tapestries used in the Kyoto Gion Festival. After the experiments, we interviewed a
craftsman to assess the image’s importance in archiving and analyzing fabric structures.
16:40-17:00, Paper WeCT5.4
Appearance Control using Projection with Model Predictive Control
Amano, Toshiyuki, Nara Inst. of Science and Tech.
Kato, Hirokazu, Nara Inst. of Science and Tech.
The unified technique for the irradiance correction and appearance enhancement for the real scene is proposed in this
paper. The proposed method employed MPC algorithm for the projector camera system and enabled arbitrary appearance
control such like photo retouching software in the real world. In the experiment, the appearance control of saturation enhancement,
color removal, phase control, edge enhancement, image blur, makes unique brightness and the other enhancements
for the real scene are shown.
17:00-17:20, Paper WeCT5.5
Decision Trees for Fast Thinning Algorithms
Grana, Costantino, Univ. degli Studi di Modena e Reggio Emilia
Borghesani, Daniele, Univ. degli Studi di Modena e Reggio Emilia
Cucchiara, Rita, Univ. degli Studi di Modena e Reggio Emilia
We propose a new efficient approach for neighborhood exploration, optimized with decision tables and decision trees,
suitable for local algorithms in image processing. In this work, it is employed to speed up two widely used thinning techniques.
The performance gain is shown over a large freely available dataset of scanned document images.
WeCT6 Dolmabahçe Hall B
Iris Regular Session
Session chair: Kittler, Josef (Univ. of Surrey)
15:40-16:00, Paper WeCT6.1
Personal Identification from Iris Images using Localized Radon Transform
Zhou, Yingbo, The Hong Kong Pol. Univ.
Kumar, Ajay, The Hong Kong Pol. Univ.
Personal identification using iris images has invited lots of attention in the literature and offered higher accuracy. However,
the computational complexity in the feature extraction from the normalized iris images is still of key concern and further
efforts are required to develop efficient feature extraction approaches. In this paper, we investigate a new approach for the
efficient and effective extraction of iris features using localized Radon transforms. The feature extraction process exploits
the orientation information from the local iris texture features using finite Radon transform. The dominant orientation
from these Radon transform features is used to generate a binarized/compact feature representation. The similarity between
two feature vectors is computed from the minimum matching distance that can account for the variations resulting from
translation and rotation of the images. The feasibility of this approach is rigorously evaluated on two publically available
iris image databases, i.e. IITD iris image database v1 and CASIA v3 iris image database. We also investigate the multi-
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