The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
IEEE Catalog Number: CFP12182-ART. ISBN: 978-4-9906441-0-9. Copyright (c) 2012 ICPR2012 Organizing Committee. All rights reserved. ICPR 2012 Organizing Committee (hereinafter, the committee), who is the copyright owner of the paper, has granted the Institute of Electrical and Electronics Engineers, Inc. (hereinafter, IEEE) the following non-exclusive permissions: As IEEE will not be the owner of the...
Summary form only given, as follows. I am pleased to extend my hearty welcome to all participants from all over the world on this occasion of the opening ceremony of The 21st International Conference on Pattern Recognition in Tsukuba. I am happy to express that the conference is held under the joint-sponsorship of the Science Council of Japan, the Information Processing Society of Japan, and the Institute...
This paper addresses a novel head posture detection algorithm to recognize human-computer interactions. A pattern training based image segmentation algorithm is used to detect the skin and hair of students. A simple and efficient human presence detection and gaze direction estimation method is then proposed based on the segmentation results. Finally, the proposed algorithm is tested on ten different...
Provides the abstracts for the following four invited talks: Pursuit of Low-dimensional Structures in High-dimensional Data; Interest Points Detectors and Descriptors in Image Recognition; Patient and Process Specific Imaging and Visualization for computer assisted interventions; Three Approaches of Scene Text Recognition: An informal comparison on difficult images.
Abstracts are provided for the following 6 contests: Mitosis detection in breast cancer histological images; People tracking in wide baseline camera network; Human activities recognition and localization competition; CHALEARN Gesture Challenge; HEp-2 Cells Classification; Kitchen scene context based gesture recognition.
Presents abstracts for the following 8 workshops: 7th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2012); Visual observation and analysis of animal and insect behavior 2012; Multimodal Pattern Recognition of Social Signals in Human Computer Interaction (MPRSS 2012); International Workshop on Depth Image Analysis (WDIA 2012); International Workshop on Pattern Recognition for Healthcare...
The problem of simultaneously estimating affine deformations between multiple objects occur in many applications. Herein, a direct method is proposed which provides the result as a solution of a linear system of equations without establishing correspondences between the objects. The key idea is to construct enough linearly independent equations using covariant functions, and then finding the solution...
We describe a new concept of human visual perception manipulation using illumination projection. The idea is to alternate material appearance of an object using projector camera feedback and a manipulation technique of an image-based material appearance. Unlike the simple display technique, our approach can manipulate human material perception for any object using the appearance control technique...
Our purpose was to separate bony structures such as ribs and clavicles from soft tissue in chest radiographs (CXRs). Although massive-training artificial neural networks (MTANNs) have been developed for suppression of ribs, they did not suppress rib edges, ribs close to the lung wall, and the clavicles well. To address this issue, we developed anatomically specific multiple MTANNs that are designed...
Seeded segmentation methods attempt to solve the segmentation problem in the presence of prior knowledge in the form of a partial segmentation, where a small subset of the image elements (seed-points) have been assigned correct segmentation labels. Common for most of the leading methods in this area is that they seek to find a segmentation where the boundaries of the segmented regions coincide with...
In this paper, we propose a self-training method which uses unlabeled regions in the original images obtained from a colorectal Narrow Band Imaging (NBI) zoom-videoendoscope. The proposed method first trims a number of patches from unlabeled regions in the original images and uses them as unlabeled training samples. Classifiers are trained with the available labeled samples, as well as with those...
This paper describes a novel multispectral parametric compound Markov random field model for texture synthesis. The proposed compound Markov random field model connects a parametric control random field represented by a hierarchical Potts Markov random field model with analytically solvable wide-sense Markovian representation for single regions. The compound random field synthesis combines the modified...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.