Showing papers on "Digital camera published in 1987"

Digital camera frame capture circuit

Abstract: A frame capture curcuit for use with a video camera includes an analog-to-digital converter for con­verting composite video to digital form and a memory for storing sequential frames of digital video. The analog-to-digital converter is connected to the memory through a summer, and the memory has an output con­nected to a second summer input through a feedback loop. The feedback loop includes a switch controlled by a central processing unit such that when the switch is closed, the output of the memory is a composite video data frame comprising a current plus a previous frame of data. The central processing unit closes the switch whenever an event of interest displayed on an external device falls near the end of a frame of video generated by the camera so that the entire event is captured without regard to the scanning phase of the video camera.

Measurement Of Human Movement And Shape Using A Digital Camera

Abstract: The purpose of this project was to develop systems for generating kinematic data on human movement and shape. We based our designs around the MicronEye digital camera, a device costing less than $300 which interfaces directly to most personal computers. To measure movement we have developed the Motion Monitor, and for shape our device is called the TopoScanner. These two instruments have three common features: they are remote, inexpensive, and generate the kinematic data automatically within a few minutes. They have been used for a wide range of biomechanical studies, including the crawling patterns of cerebral palsied children pre-and post-operatively, and the shape of rheumatoid patients' feet.

A Digital Camera and Real-Time Image Correction for Use in Edge Location.

Abstract: The accuracy of a depth map acquired using triangulation or stereo techniques is limited by the resolution of the sensor, and by the accuracy with which distortions of the image can be calibrated. This paper lists the sources of error in an imaging system, and concludes that most of them can be removed by careful camera design and calibration, with the exception of the spatial quantisation (discrete sampling). The use of a high-fidelity camera in performing experiments to calculate the errors in a lens and CCD array is described, and the results are compared with a standard technique for camera calibration. A pipeline architecture for real-time calibration of the image is proposed.