Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hiroki Sugano"'
Autor:
Ryusuke Miyamoto, Hiroki Sugano
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2323-2333
Autor:
Hiroki Sugano, Ryusuke Miyamoto
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2315-2322
Autor:
Ryusuke Miyamoto, Hiroki Sugano
Publikováno v:
Computer Vision and Image Understanding. 114:1273-1281
Recently, real-time processing of image recognition is required for embedded applications such as automotive applications, robotics, entertainment, and so on. To realize real-time processing of image recognition on such systems we need optimized libr
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 19:41-52
This paper proposes a hardware architecture for object detection based on an AdaBoost learning algorithm with Haar-like features as weak classifiers. We analyze and discuss the parallelism in this detection algorithm and propose a partially parallel
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2801-2808
Recently, many researchers tackle accurate object recognition algorithms and many algorithms are proposed. However, these algorithms have some problems caused by variety of real environments such as a direction change of the object or its shading cha
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1970-1977
The encoding/decoding process of JPEG2000 requires much more computation power than that of conventional JPEG mainly due to the complexity of the entropy encoding/decoding. Thus usually multiple entropy codec hardware modules are implemented in paral
Publikováno v:
2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).
In this paper, we propose a framework for the ISDB-T software receivers. It provides the environment for evaluating various algorithms in order to improve the receiver performance. In order to demonstrate the feasibility of our framework, we implemen
Autor:
Ryusuke Miyamoto, Hiroki Sugano
Publikováno v:
ICIP
Recently, many researchers tackle accurate object recognition algorithms and many algorithms are proposed. However, these algorithms have some problems caused by variety of real environments such as a direction change of the object or its shading cha
Autor:
Hiroki Sugano, Ryusuke Miyamoto
Publikováno v:
IIH-MSP
One of the most widely used schemes to extract feature points suitable for tracking in computer vision is ``Good Features to Track''. In this paper, we propose parallel implementation of the good feature extraction scheme optimized for the Cell proce
Autor:
Ryusuke Miyamoto, Hiroki Sugano
Publikováno v:
ICCV Workshops
Nowadays, pedestrian recognition for automotive and security applications that require accurate recognition in images taken from distant observation points is a recent challenging problem in the field of computer vision. To achieve accurate recogniti