Study on Integrated Recognition Systems

集成识别系统研究

• 批准号: 08680409
• 负责人: FUKUNAGA Kunio
• 金额: $ 1.54万
• 依托单位: Osaka Prefecture University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08680409/
• 关键词: Integrated Recognition Systems; Image Recognition; Speech Recognition; Dialogue Recognition; Moving Robot

In the project, we discusses an integrated recognition system considering the fusion of speech information, image and visual information, and an active recognition system based on a dialogue to ask non understandable meanings or seeking a better point of view to recognize an object. In succession from the last fiscal year, also this year mainly discuss the following three points.1. How or where an active recognition robot should move to recognize objects more clearly, in the case when a robot could not recognize under the given point of view ?2. In the field of computer vision, a movement or behavior is represented by changes of 3-dimensional geometrical data. On the other hand, AI approaches such as inference or planning is not based on the expression of the geometrical data, but the expression of logical symbolic data. There has been a gap of data expression between AI approach and the field of computer vision. We propose a method of converting the 3-dimensional geometrical data into an expression of predicate logic based on the frame grammar, and examine the effectiveness of our approach.3. We have made an active recognition robot to change a better point of view to recognize the object more clearly, and examine the effectiveness of robot actions.

在这个项目中，我们讨论了一个综合的识别系统，考虑到语音信息，图像和视觉信息的融合，和一个主动识别系统的基础上的对话，询问不理解的含义或寻求一个更好的角度来识别一个对象。继上一财年之后，今年也主要讨论以下三点.当机器人在给定的视角下无法识别物体时，主动识别机器人应该如何移动或移动到哪里才能更清楚地识别物体？2.在计算机视觉领域，运动或行为由三维几何数据的变化来表示。另一方面，推理或规划等人工智能方法不是基于几何数据的表达，而是基于逻辑符号数据的表达。人工智能方法与计算机视觉领域在数据表达方面存在差距。提出了一种基于框架文法将三维几何数据转换为谓词逻辑表达式的方法，并验证了该方法的有效性.我们制作了一个主动式辨识机器人，以改变一个较佳的角度来辨识物体，并检验机器人动作的有效性。

项目成果

西川昇,大西正輝,福永邦雄: "カメラ位置姿勢制御を用いたモデルベース物体認識" 電気学会論文誌. 118-C,2. 210-2 (1998)

Noboru Nishikawa、Masaki Onishi、Kunio Fukunaga：“使用相机位置和方向控制的基于模型的对象识别”日本电气工程师学会汇刊，118-C，2. 210-2 (1998)。

森隆司,泉正夫,福永邦雄: "斥力と引力を用いた物体の位置姿勢推定に関する-手法" 電子情報通信学会論文誌. J81-D-II,1. 215-220 (1998)

Takashi Mori、Masao Izumi、Kunio Fukunaga：“使用斥力和吸引力估计物体位置和方向的方法”，电子、信息和通信工程师学会汇刊 J81-D-II，1. 215-220 (1998)。

K.Kise, A.Kojima, K.Fukunaga: "Integration of Image, Figure and Text" System/Control/Information. Vol.41, No.12. 520-527 (1997)

K.Kise、A.Kojima、K.Fukunaga：“图像、图形和文本的集成”系统/控制/信息。

N.Nishikawa, K.Fukunaga: "Object Recognition Based on Camera Control" Trans.IEE of Japan. Vol.118-C,No.2. 210-216 (1998)

N.Nishikawa、K.Fukunaga：“基于摄像机控制的物体识别”Trans.IEE 日本。

T.Mori, K.Fukunaga: "A Method of Pose Estimation Using Repulsive and Gravity Forces" Trans.IEICE. Vol.J81-D-II,No.1. 215-220 (1998)

T.Mori、K.Fukunaga：“一种使用排斥力和重力的姿态估计方法” Trans.IEICE。