T. Wada

发表

3 D Shape From Multi-viewpoint Images Using Deformable Mesh Model

T. Matsuyama, S. Nobuhara, T. Wada, 2002 .

K-means Tracker : A Failure Detectable and Recoverable Tracking Method Against Interfused Bakcground

Qian Chen, T. Wada, C. Hua, 2022 .

Gaussian Process Regression with Dynamic Active Set and Its Application to Anomaly Detection

Toshikazu Wada, Shunji Maeda, T. Wada, 2013 .

A Novel NonLinear Mapping Algorithm (PaLM-Tree)

Toshikazu Wada, Takekazu Kato, Takayuki Nakamura, 2005 .

Direct condensing: an efficient Voronoi condensing algorithm for nearest neighbor classifiers

T. Wada, Takekazu Kato, 2004, ICPR 2004.

Multiple-Tracking of Crowds Based on a Leader/Follower Strategy and the Dropping-Pebbles Method

Shuichi Nishio, Toshikazu Wada, Noboru Babaguchi, 2007 .

Scale‐space filtering for periodic waveforms

Makoto Sato, Makoto Sato, Toshikazu Wada, 1991 .

Real-time Multi-view Image Processing System on PC-cluster

Rin-ichiro Taniguchi, Toshikazu Wada, T. Wada, 2001 .

7. The Future of Video Surveillance for Criminal Investigation

Yasushi Makihara, Yasushi Yagi, Koichi Kise, 2016 .

2A2-F07 Self Localization Method for Vision-based Mobile Robot Using Multiple Parallel Line Patterns

Qian Chen, Toshikazu Wada, Hiroaki Kawano, 2007 .

Active Image Capturing and Dynamic Scene Visualization by Cooperative Distributed Vision

Takashi Matsuyama, Toshikazu Wada, Shogo Tokai, 1998, AMCP.

K-means Clustering Based Pixel-wise Object Tracking

Qian Chen, Haiyuan Wu, Toshikazu Wada, 2008 .

RK-Means Clustering: K-Means with Reliability

Haiyuan Wu, Qian Chen, Toshikazu Wada, 2008, IEICE Trans. Inf. Syst..

A Noise-Insensitive Object Tracking Algorithm

Qian Chen, Haiyuan Wu, Toshikazu Wada, 2007, ACCV.

A Pixel-wise Object Tracking Algorithm with Target and Background Sample

Haiyuan Wu, Qian Chen, Toshikazu Wada, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Shape from Shading with Interreflections Under a Proximal Light Source: Distortion-Free Copying of an Unfolded Book

Takashi Matsuyama, Hiroyuki Ukida, Toshikazu Wada, 1997, International Journal of Computer Vision.

Part Based Regression with Dimensionality Reduction for Colorizing Monochrome Face Images

Toshikazu Wada, Atsushi Mori, T. Wada, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

A General Algorithm to Recover External Camera Parameters from Pairwise Camera Calibrations

Toshikazu Wada, Jaume Vergés-Llahí, T. Wada, 2008, ICIAR.

Multiobject Behavior Recognition by Event Driven Selective Attention Method

Takashi Matsuyama, Toshikazu Wada, T. Matsuyama, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video

Xiaojun Wu, Takashi Matsuyama, Toshikazu Wada, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

A New Reliability Measure for Essential Matrices Suitable in Multiple View Calibration

Daniel Moldovan, Toshikazu Wada, Jaume Vergés-Llahí, 2008, VISAPP.

Appearance sphere: background model for pan-tilt-zoom camera

Takashi Matsuyama, Toshikazu Wada, T. Matsuyama, 1996, Proceedings of 13th International Conference on Pattern Recognition.

2A1-E08 Tightly coupled planning and model learning for real robot behavior learning

Takayuki Nakamura, Toshikazu Wada, Terumi Kawahara, 2006 .

A Geometrically Calibrated Pinhole Camera Model for Single Omnidirectional Imaging System

Daniel Moldovan, Toshikazu Wada, T. Wada, 2004, British Machine Vision Conference.

Algorithms and Evaluations for Efficient Condensing based on Proximity Graphs

Toshikazu Wada, Takekazu Kato, T. Wada, 2003 .

Background subtraction based on cooccurrence of image variations

Kazuhiko Sumi, Toshikazu Wada, Makito Seki, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

2P1-N-050 Development of Locomotion Control Method by Tracking with Floor Pressure Sensors : Approach by Human Tracking for Practicality and Familiarity(Home Robot and Mechatronics 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Daisuke Yamamoto, Masatsugu Kidode, Hideki Ogawa, 2005 .

Acceleration Method for Nearest Neighbor Classification based on Space Decomposition

Toshikazu Wada, T. Wada, 2005 .

Cooperative Spatial Reasoning for Image Understanding

Takashi Matsuyama, Toshikazu Wada, T. Matsuyama, 1997, Int. J. Pattern Recognit. Artif. Intell..

Camera Calibration with Two Arbitrary Coplanar Circles

Qian Chen, Haiyuan Wu, Toshikazu Wada, 2004, ECCV.

Commonality Preserving Multiple Instance Clustering Based on Diverse Density

Takayuki Fukui, Toshikazu Wada, T. Wada, 2014, ACCV Workshops.

Shape from shading with interreflections under proximal light source-3D shape reconstruction of unfolded book surface from a scanner image

Takashi Matsuyama, Hiroyuki Ukida, Toshikazu Wada, 1995, Proceedings of IEEE International Conference on Computer Vision.

Background subtraction under varying illumination

Hitoshi Habe, Takashi Matsuyama, Toshikazu Wada, 2006, Systems and Computers in Japan.

Multiobject behavior recognition by selective attention

Masayuki Sato, Toshikazu Wada, Takashi Matsuyama, 1999 .

Appearance based behavior recognition by event driven selective attention

Takashi Matsuyama, Toshikazu Wada, T. Matsuyama, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Event Driven Motion-Image Classification by Selective Attention Model

Toshikazu Wada, Takekazu Kato, T. Wada, 1996, MVA.

Classifier Acceleration by Imitation

Takayuki Nakamura, Toshikazu Wada, Takahiro Ota, 2010, ACCV.

Semi-Supervised Feature Transformation for Tissue Image Classification

Takumi Kobayashi, Toshikazu Wada, Kenji Watanabe, 2016, PloS one.

Object Tracking with Target and Background Samples

Haiyuan Wu, Qian Chen, Toshikazu Wada, 2007, IEICE Trans. Inf. Syst..

Commonality Preserving Image-Set Clustering Based on Diverse Density

Takayuki Fukui, Toshikazu Wada, T. Wada, 2014, ISVC.

K-d decision tree: an accelerated and memory efficient nearest neighbor classifier

Toshikazu Wada, Takekazu Kato, T. Shibata, 2003, Third IEEE International Conference on Data Mining.