CISE Research Resources: A Compute-Intensive Sensor-Based Environment for Research in Computer Vision and Artificial Intelligence

苏迪普·萨卡南佛罗里达大学acise研究资源：基于计算密集型传感器的计算机视觉和人工智能研究环境复杂图像感知组织分组参数的自动学习，图像序列中弹性物体的建模和重建，电子商务中买卖双方的实时匹配，以及从超大数据库中学习模型。所有这些都需要大型数据存储和支持探索超大参数空间的计算环境，以及处理大量数据的能力。在计算机视觉和人工智能领域的这四个研究项目中，需要一个具有大量内存和磁盘存储的多处理器计算环境来进行高性能计算。计算服务器将把现有的能力提高一个数量级。此外，还需要图像采集设备，包括高分辨率彩色摄像机、数字摄像机、立体摄像机和激光距离扫描仪，用于收集颜色、运动和距离数据。获取快速范围图像和运动序列的能力将使考虑将运动和范围整合到感知组织过程中的问题成为可能。此外，能够获得快速和高分辨率的范围，并具有注册颜色，将促进基于物理的非刚性算法和模型的发展，这些算法和模型包含了迄今为止不可能实现的真实材料特性。

EIA-0130768 Sudeep SarkarUniversity of South FloridaCISE Research Resources: A Compute-Intensive Sensor-Based Environment for Research in Computer Vision and Artificial IntelligenceAutomated learning of grouping parameters for perceptual organization of complex images, modeling and reconstruction of elastic objects from image sequences, real-time matching of buyers and sellers for E-commerce, and learning models from extremely large databases, all require large data storage and a computing environment that supports exploring extremely large parameter spaces along with the ability to process huge quantities of data. A multiprocessor computing environment with substantial memory and disk storage is requested for high-performance computing associated with these four research projects in the general areas of computer vision and artificial intelligence. The compute server will increase the present capabilities by an order of magnitude.In addition, image acquisition devices, including high-resolution color cameras, digital video cameras, stereo cameras, and laser range scanners are requested for gathering color, motion, and range data. The ability to acquire fast range images and motion sequences will enable the consideration of the problem of integrating motion and range into the perceptual organization process. Also, the ability to acquire fast and high-resolution range, with registered color, will facilitate development of physics-based non-rigid algorithms and models that incorporate true material properties, which have, heretofore, not been possible.