Proceedings., International Conference on Image Processing
DOI: 10.1109/icip.1995.529578
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Electronic image stabilization using multiple visual cues

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Cited by 26 publications
(9 citation statements)
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“…The horizon is a very strong visual cue, present in almost every off-road situation. Yao et al [12] and Duric and Rosenfeld [4] used similar visual cues. The first step in feature extraction is to smooth the input image by convolving it with a 5 ϫ 5 Gaussian kernel operator.…”
Section: Automatic Extraction Selection and Tracking Of Feature Pointsmentioning
confidence: 97%
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“…The horizon is a very strong visual cue, present in almost every off-road situation. Yao et al [12] and Duric and Rosenfeld [4] used similar visual cues. The first step in feature extraction is to smooth the input image by convolving it with a 5 ϫ 5 Gaussian kernel operator.…”
Section: Automatic Extraction Selection and Tracking Of Feature Pointsmentioning
confidence: 97%
“…Not compensating for the scale factor produces a similar effect; the smoothing techniques suggested by Duric and Rosenfeld [4] and Yao et al [12] could be applied to the remaining parameters. The advantage of such a scheme is that the current system could still be used without much change in performance, but a better scheme would use the tracked feature pairs to estimate the 3D rotation directly, but using iterative methods like those in Duric and Rosenfeld [4] and Irani et al [6] slows down the process significantly.…”
Section: Vertical Translation Tilt Rotation Rollmentioning
confidence: 98%
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“…Such approaches only compensate for the 3D rotational motion component, and neglect the translations, in a similar manner to mechanical stabilisation rigs (Yao et al, 1995). Rotational models estimate a compensatory rotational homography, either using instantaneous angular velocity (Yao et al, 1995) (differential form), or using inter-frame rotations, e.g. represented as unit quaternions (Morimoto and Chellappa, 1997).…”
Section: Related Workmentioning
confidence: 99%