Robot Vision 2010
DOI: 10.5772/9288
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Real-Time Stereo Vision Applications

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Cited by 9 publications
(6 citation statements)
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References 51 publications
(46 reference statements)
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“…The authors presented a comparison between the SAD (Sum of Absolute Differences) algorithm and a dynamic programming technique (both running on 640 × 480 pixels images), obtaining outputs of 162 and 81 frames per second, respectively. Georgoulas and Andreadis [15] presented the design and implementation of a real-time hardware-based stereo vision system. In their work, a new algorithm that mixes SAD with fuzzy logic was used, obtaining outputs with 1713 frames per second when considering images with 320 × 240 pixels.…”
Section: Related Work In Stereo Vision and Image Restoration Implemementioning
confidence: 99%
See 1 more Smart Citation
“…The authors presented a comparison between the SAD (Sum of Absolute Differences) algorithm and a dynamic programming technique (both running on 640 × 480 pixels images), obtaining outputs of 162 and 81 frames per second, respectively. Georgoulas and Andreadis [15] presented the design and implementation of a real-time hardware-based stereo vision system. In their work, a new algorithm that mixes SAD with fuzzy logic was used, obtaining outputs with 1713 frames per second when considering images with 320 × 240 pixels.…”
Section: Related Work In Stereo Vision and Image Restoration Implemementioning
confidence: 99%
“…As can be observed, in stereo vision the disparity calculation (for stereo vision) is complex and, generally, obtained using Census Transform, SAD, SSD, or dynamic programming techniques, among others [13,15,17]. Mathematical operations need to be performed efficiently to be used in real-time stereo vision systems.…”
Section: Related Work In Stereo Vision and Image Restoration Implemementioning
confidence: 99%
“…As shown in Fig. 2, based on the triangle method as we can determine the depth by the following equation: (1) and the depth can be easily determined by:…”
Section: Implementation Of Sadmentioning
confidence: 99%
“…Stereo matching is a problem to find correspondences between two input images [1], [2]. It is one of fundamental computer vision problems with a wide range of applications, and hence it has been extensively studied in the computer vision field for many recent years .…”
Section: Introductionmentioning
confidence: 99%
“…Many efforts have been made towards efficient solutions to address the various issues of stereo matching. As the improvements in computational resources steadily increase, the demand for real-time applications is getting compulsory 12 . The most common approach for extracting depth information from intensity images is by means of a stereo camera setup.…”
Section: Human-machine Interaction Schemementioning
confidence: 99%