4 0 0 0 OA Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling
- 著者
- Takayoshi Yamashita Takaya Nakamura Hiroshi Fukui Yuji Yamauchi Hironobu Fujiyoshi
- 出版者
- 一般社団法人 情報処理学会
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.7, pp.99-103, 2015 (Released:2015-07-27)
- 参考文献数
- 15
- 被引用文献数
- 6
Facial part labeling which is parsing semantic components enables high-level facial image analysis, and contributes greatly to face recognition, expression recognition, animation, and synthesis. In this paper, we propose a cost-alleviative learning method that uses a weighted cost function to improve the performance of certain classes during facial part labeling. As the conventional cost function handles the error in all classes equally, the error in a class with a slightly biased prior probability tends not to be propagated. The weighted cost function enables the training coefficient for each class to be adjusted. In addition, the boundaries of each class may be recognized after fewer iterations, which will improve the performance. In facial part labeling, the recognition performance of the eye class can be significantly improved using cost-alleviative learning.
- 著者
- Christian Nitschke Atsushi Nakazawa Haruo Takemura
- 出版者
- Information Processing Society of Japan
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.5, pp.1-18, 2013 (Released:2013-01-24)
- 参考文献数
- 142
- 被引用文献数
- 8 33
The cornea of the human eye acts as a mirror that reflects light from a person's environment. These corneal reflections can be extracted from an image of the eye by modeling the eye-camera geometry as a catadioptric imaging system. As a result, one obtains the visual information of the environment and the relation to the observer (view, gaze), which allows for application in a number of fields. The recovered illumination map can be further applied to various computational tasks. This paper provides a comprehensive introduction on corneal imaging, and aims to show the potential of the topic and encourage advancement. It makes a number of contributions, including (1) a combined view on previously unrelated fields, (2) an overview of recent developments, (3) a detailed explanation on anatomic structures, geometric eye and corneal reflection modeling including multiple eye images, (4) a summary of our work and contributions to the field, and (5) a discussion of implications and promising future directions. The idea behind this paper is a geometric framework to solve persisting technical problems and enable non-intrusive interfaces and smart sensors for traditional, ubiquitous and ambient environments.
- 著者
- Hajime Taira Yuki Inoue Akihiko Torii Masatoshi Okutomi
- 出版者
- Information Processing Society of Japan
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.7, pp.84-88, 2015 (Released:2015-07-27)
- 参考文献数
- 18
- 被引用文献数
- 1 17
In this work, we proposes a simple yet effective method for improving performance of local feature matching among equirectangular cylindrical images, which brings more stable and complete 3D reconstruction by incremental SfM. The key idea is to exiplictly generate synthesized images by rotating the spherical panoramic images and to detect and describe features only from the less distroted area in the rectified panoramic images. We demonstrate that the proposed method is advantageous for both rotational and translational camera motions compared with the standard methods on the synthetic data. We also demonstrate that the proposed feature matching is beneficial for incremental SfM through the experiments on the Pittsburgh Reserach dataset.
- 著者
- Ryoichi Ishikawa Bo Zheng Takeshi Oishi Katsushi Ikeuchi
- 出版者
- 一般社団法人 情報処理学会
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.7, pp.89-93, 2015 (Released:2015-07-27)
- 参考文献数
- 12
The aerial 3D laser scanner is needed for scanning the areas that cannot be observed from the ground. Since the laser scanning takes time, the obtained range data is distorted due to the sensor motion while scanning. This paper presents a rectification method for the distorted range data by aligning each scan line to the 3D data obtained from the ground. To avoid the instability and ambiguity of the line-based alignment, the parameters to be optimized are selected alternately, and the smoothness constraint is introduced by assuming that the sensor motion is smooth. The experimental results show that the proposed method has the good accuracy simulation and actual data.
- 著者
- Yuichi Yaguchi Kenta Iseki Ryuichi Oka
- 出版者
- Information Processing Society of Japan
- 雑誌
- IPSJ Transactions on Computer Vision and Applications (ISSN:18826695)
- 巻号頁・発行日
- vol.2, pp.1-14, 2010 (Released:2010-02-04)
- 参考文献数
- 39
- 被引用文献数
- 1 5
A two-dimensional continuous dynamic programming (2DCDP) method is proposed for two-dimensional (2D) spotting recognition of images. Spotting recognition is the simultaneous segmentation and recognition of an image by optimal pixel matching between a reference image and an input image. The proposed method performs optimal pixel-wise image matching and 2D pixel alignment, which are not available in conventional algorithms. Experimental results show that 2DCDP precisely matches the pixels of nonlinearly deformed images.