The Kinect up close: Adaptations for short-range imaging

M. Draelos, N. Deshpande, E. Grant
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引用次数: 18

Abstract

With proper calibration of its color and depth cameras, the Kinect can capture detailed color point clouds at up to 30 frames per second. This capability positions the Kinect for use in robotics as a low-cost navigation sensor. Thus, techniques for efficiently calibrating the Kinect depth camera and altering its optical system to improve suitability for imaging short-range obstacles are presented. To perform depth calibration, a calibration rig and software were developed to automatically map raw depth values to object depths. The calibration rig consisted of a traditional chessboard calibration target with easily locatable features in depth at its exterior corners that facilitated software extraction of corresponding object depths and raw depth values. To modify the Kinect's optics for improved short-range imaging, Nyko's Zoom adapter was used due to its simplicity and low cost. Although effective at reducing the Kinect's minimum range, these optics introduced pronounced distortion in depth. A method based on capturing depth images of planar objects at various depths produced an empirical depth distortion model for correcting such distortion in software. Together, the modified optics and the empirical depth undistortion procedure demonstrated the ability to improve the Kinect's resolution and decrease its minimum range by approximately 30%.
近距离观察Kinect:适应近距离成像
通过对颜色和深度摄像头进行适当的校准,Kinect可以以每秒30帧的速度捕捉到详细的彩色点云。这种能力使Kinect成为机器人领域的低成本导航传感器。因此,提出了有效校准Kinect深度相机和改变其光学系统以提高成像近距离障碍物的适用性的技术。为了进行深度校准,开发了校准设备和软件,将原始深度值自动映射到目标深度。标定装置由传统的棋盘标定目标组成,其外角的深度特征易于定位,便于软件提取相应的目标深度和原始深度值。为了改进Kinect的光学系统以改善近距离成像,使用了Nyko的Zoom适配器,因为它简单且成本低。虽然这些光学元件有效地减少了Kinect的最小范围,但在深度上却造成了明显的失真。一种基于不同深度平面物体深度图像捕获的方法产生了一个经验深度失真模型,用于在软件中校正这种失真。改进后的光学系统和经验深度不失真程序共同证明了Kinect分辨率的提高,并将其最小范围缩小了约30%。
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