Implementation of Stereo Vision Semi-Global Block Matching Methods for Distance Measurement
| Autor: | Raden Arief Setyawan, Rudy Sunoko, Panca Mudji Rahardjo, Mochammad Agus Choiron |
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| Rok vydání: | 2018 |
| Předmět: |
Matching (statistics)
Control and Optimization Computer Networks and Communications Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Distance Measurement 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Computer vision Electrical and Electronic Engineering Block (data storage) Block-matching algorithm business.industry Stereo Vision 020206 networking & telecommunications Filter (signal processing) Object (computer science) Stereo Matching Stereopsis Distance measurement Hardware and Architecture Signal Processing 020201 artificial intelligence & image processing Artificial intelligence business Stereo camera Information Systems |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 12:585 |
| ISSN: | 2502-4760 2502-4752 |
| DOI: | 10.11591/ijeecs.v12.i2.pp585-591 |
| Popis: | Stereo vision has become an attractive topic research in the last decades. Many implementations such as the autonomous car, 3D movie, 3D object generation, are produced using this technique. The advantages of using two cameras in stereo vision are the disparity map between images. Disparity map will produce distance estimation of the object. Distance measurement is a crucial parameter for an autonomous car. The distance between corresponding points between the left and right images must be precisely measured to get an accurate distance. One of the most challenging in stereo vision is to find corresponding points between left and right images (stereo matching). This paper proposed distance measurement using stereo vision using Semi-Global Block Matching algorithm for stereo matching purpose. The object is captured using a calibrated stereo camera. The images pair then optimized using WLS Filter to reduce noises. The implementation results of this algorithm are furthermore converted to a metric unit for distance measurement. The result shows that the stereo vision distance measurement using Semi-Global Block Matching gives a good result. The obtained best result of this work contains error of less than 1% for 1m distance |
| Databáze: | OpenAIRE |
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