CISE Research Instrumentation: Specialized Equipment for Vision and Image Processing

9422288 Lobo该奖项旨在购买一个实时视觉系统，以协助三个项目的研究：1)从面部分类人类年龄；2)视觉手势识别；3)图像处理中的多帧序统计。在第一个项目中，研究解决了将面部图像分为婴儿，年轻人和老年人的年龄分类的有限任务。它解决了从事活动的面部年龄分类的难题，也就是说，不仅仅是面部照片。第二个项目研究基于运动信息的手势识别。当前的手势库包含七个手势：左、右、上、下、旋转、抓取和停止。提出将该方法扩展到三维手势识别。采用广义圆柱体的三维手部模型，估计运动参数来计算三维手部轨迹。手势识别通过3d而不是2d的方法变得更加真实。第三个项目涉及涉及中值滤波的多帧阶统计的实时性能。提出利用时空滤波（多幅连续图像）将基于中值和阶统计量的滤波扩展到三维。还提出了将抑制窄带（周期性）干扰的方法扩展到二维（用于图像）。

9422288 Lobo This award is to purchase a real-time vision system to assist research in three projects: 1) Classify Human Age from Faces; 2) Visual Gesture Recognition; and 3) Multi-frame Order Statistics in Image Processing. In the first project, the research addresses the limited task of age classification of a facial image into a baby, young adult, and senior adult. It addresses the difficult issues of age classification of faces that are engaged in activity, i.e., not simply mugshots. The second project investigates performing gesture recognition based on motion information. The current library of gestures contains seven gestures: Left, Right, Up, Down, Rotate, Grab, and Stop. It is proposed to extend the method to 3-D gesture recognition. A 3-D hand model using Generalized Cylinders, will be employed and motion parameters will be estimated to compute 3-D hand trajectories. Gesture recognition becomes more realistic with a 3-D, rather than a 2-D, approach. The third project deals with the real-time performance of multi-frame order statistics involving median filtering. It is proposed to extend median and order statistic based filtering to 3-D by using spatio-temporal filtering (multiple successive images). It is also proposed to extend methods for suppression of narrow-band (periodic) interference to 2-D (for images).