Full text: XVIIIth Congress (Part B5)

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existing ones, 
and possible 
solutions. As a pilot system, hand-held camcorders, 
VCRs, frame grabber, and PC were used to take 
sequential images. Basic image processing software, 
DLT, and UNBASC2 were used to derive object 
coordinates. To analyze the characteristics of the 
camcorders, preliminary tests were conducted with still 
and moving targets. Then, to estimate the performance of 
this system for vibrations, a car was imaged covering 
several phases when starting to drive. The images were 
recorded on VCR. 15 images per second were digitized in 
an off-line mode by frame grabber and the targets 
attached to the rear bumper were traced using Direct 
Linear Transformation(DLT). 
2. VIDEO SYSTEM 
2-1. Camcorder 
In a video system, the sensor converts light energy into 
electrical signals. As a sensor, a video camera is an 
image plane scanner unlike the line and push-broom 
scanners that operate as object plane scanners. This 
means that a 2-dimensional image of the object space, 
defined by the field of view of the camera, is formed on 
the imaging surface of the tube or a solid state array. This 
latent image, scanned by an electron beam(tube camera) 
or the photovoltaic seats of the sensor array(solid state 
camera) are read-out to generate a video signal, an 
amplitude modulated voltage signal. The video signal is 
then formatted to produce a 2 dimensional raster image 
by means of accurately supplied synchronization 
pulses(Vicek, 1988). 
The video image is made up of a series of horizontal scan 
lines, scanned left to right and from top to bottom much 
as a page of text is read. Within the scan, the voltage 
level of the signal is varied in proportion to the image 
brightness. In most systems the use of television 
standards plays a role because the image is often 
transferred from camera to the frame grabber by an 
analogue television signal. The television signal can be a 
source of errors and excludes the use of sensors with 
more rows than defined in the standard. The video 
industry uses several standards for encoding and 
decoding video signals. For example, the NTSC 
standards calls for a video frame, or image, to be 
scanned every 1/30s. Because this is a rate sufficiently 
slow for flicker to be apparent, the frame is divided into 
two fields, containing alternate scan lines, each displayed 
every 1/60s. This concept, called an interlaced signal, 
eliminates the flicker problem in ordinary television 
viewing. Two types of CCD camcorders supporting 
NTSC standards were used in this research. 
2-2. VCR 
Video recording is a form of electronic imaging whereby 
standard analog television signals are recorded on 
magnetic tape or disks. The raw video signal is a 
fluctuating DC voltage. The amplitude-modulated, DC- 
voltage video signal is converted into a frequency- 
modulated signal by video cassette recorder(VCR). 
As the video image is used to measure geometric figures, 
we have to consider its resolution. The vertical resolution 
of recorded video imagery is determined by the fixed 
153 
number of interlaced scan lines. The horizontal 
resolution, in comparison, is determined largely by the 
maximum recording frequency. For broadcast television, 
this frequency bandwidth is fixed by FCC(Lusch, 1988). 
In photogrammetric applications, the video image is 
generally not collected for broadcast purposes. In this 
context, the horizontal resolution of video image is 
determined by the quality of video camera/lens and the 
VCR. While VHS format provides a maximum recorded 
horizontal resolution of about 240 lines, regardless of how 
many lines the camera produces, S-VHS format provides 
more than 400 lines of horizontal resolution. Two S-VHS 
VCRs were used to record the left and right images in this 
experiment. 
The frequency-modulated video signal, called the 
luminance or Y signal, carries the black and white 
information of the scene. This achromatic data provides 
the spatial detail in the video image. The color 
information in the video signal, the crominance(or croma) 
signal, is converted by the VCR to a lower-frequency, 
non-modulated subcarrier. Two different color carrying 
formats, composite video and S-Video, are mainly used, 
depending on the recording format. We used S-Video to 
get a high spatial quality from the video image. 
2-3. Frame Grabber 
CCD sensors most commonly use one of three 
addressing strategies: interline transfer, frame transfer, 
column-row transfer. In the frame transfer organization, 
the sensor consists of vertical columns of CCD shift 
registers divided into two zones. One zone, where charge 
accumulates during integration time, is photosensitive. 
When integration is complete, the whole array is 
transferred in parallel to the opaque storage area of the 
second zone(Dunbar, 1986). 
The A/D converters of most frame grabbers resolve the 
analogue light intensity signal coming from the camera 
into 8 bit pixels, which is equivalent to 256 shades of 
gray, ranging from O for black to 256 for white or vice 
versa. A separate device, fabricated by a completely 
different integrated circuit process than the imager, 
performs the conversion. It was not until 1978 that the 
single-chip video rate "flash" analog to digital converter 
was invented. 
If ADC and /or memory is too slow, every image frame 
will not be stored. At a frame rate of 30 frames per 
second, it becomes necessary to cope with data sets of 
640*480*8 bits in 1/30 s. No conventional PC can cope 
with these demands within 1/30 s and it is necessary to 
introduce additional processing power into the PC. This 
can be done by installing a video digitizer board, also 
known as frame grabber. This device converts a frame of 
imagery to digital data, stores it in computer memory, 
and regenerates a video image from the stored data. We 
used a popular frame grabber for the PC, Video- 
BlasterSE. It is designed to work with VGA display 
standards, and support NTSC, S-Video, and TIFF file 
formats. 
3. MATHEMATICAL MODEL 
3-1. Sub-Pixel Target Location 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996 
 
	        
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