CISE Research Instrumentation: Equipment for Real-Time Interaction with Images

9617321斯托克曼、乔治·C·贾恩、阿尼尔·K·密歇根州立大学CEISE研究仪器：与图像实时交互的设备这项研究仪器赠款使购买设备用于以下研究项目：-自我组织基于视觉的学习、数据库和基于内容的人脸检索、建模、跟踪和解释。正在进行视觉引导机器人、视觉学习、组织和访问图像数据库以及对人脸进行建模和跟踪方面的研究。这项研究的主要内容包括：-研究包括导航和物体识别在内的多任务自动学习的系统方法，-使用诸如形状、纹理和颜色等综合特征组织图像以快速访问，以及-为快速识别和实时跟踪而对物体进行建模和存储。研究项目的进展关键取决于新的仪器，它将提供与来自环境的传感图像和存储在存储器中的图像实时交互的能力。一个可操纵的相机系统将用于导航、手眼协调以及手势识别的手脸跟踪实验。连接到两个功能强大的工作站的RAID磁盘存储器将为两个同时进行的实验提供大容量和快速的存储，这两个实验可能是存储或搜索视频图像，或者执行基于模型的实时跟踪。我们预计我们的研究项目将产生几个好处，包括改善人机交互，更好地访问图像数据库，以及学习许多实际问题所需的自动识别程序的更好方法。

9617321 Stockman, George C. Jain, Anil K. Michigan State University CISE Research Instrumentation: Equipment for Real-Time Interaction with Images This research instrumentation grant enables the purchase of equipment to be used in the following research projects: -Self Organization for Vision-Based Learning, Databases and Content-Based Retrieval, Modeling , Tracking, and Interpretation of Human Faces. Research is being performed in vision-guided robotics, visual learning, organizing and accessing databases of images and modeling and tracking human faces. Key elements of the research include - investigation of systematic methods for automatic learning over multiple tasks including navigation and object recognition, -organization of imagery for fast access using integrated features such as shape, texture, and color, and -modeling and storage of objects for fast recognition and real-time tracking. Advancement in the research projects depends critically on the new instrumentation which will provide the capability to interact in real-time with both sensed images from the environment and images stored in memory. A steerable camera system will be used for experiments in navigation, hand-eye coordination and tracking of hands and faces for gesture recognition. RAID disk memory connected to two powerful workstations will provide for large and fast storage for two simultaneous experiments which may be storing or searching video images or performing real-time model-based tracking. We anticipate that our research projects will yield several benefits, including improved man-machine interaction, better access to image databases, and better methods for learning automatic recognition procedures needed in many practical problems.