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Automatic red-eye detection and correction - IEEE Xplore
- https://ieeexplore.ieee.org/document/1038147/#:~:text=A%20method%20is%20presented%20to%20automatically%20detect%20and,several%20refining%20masks%20computed%20over%20the%20facial%20region.
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Automated red-eye detection and correction in digital …
- https://ieeexplore.ieee.org/document/1421575/
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions and then an eye classifier is utilized to confirm whether each candidate region is a human eye.
H.: Automated red-eye detection and correction in digital …
- https://www.researchgate.net/publication/4138196_H_Automated_red-eye_detection_and_correction_in_digital_photographs
- The red eye artifacts are troublesome problem of consumer photos. Correction of red eyes without user intervention is an important task. The novel …
Automatic red-eye detection and correction - IEEE Xplore
- https://ieeexplore.ieee.org/document/1038147/
- A method is presented to automatically detect and correct redeye in digital images. First, faces are detected with a cascade of multi-scale classifiers. The red-eye pixels are then located with several refining masks computed over the facial region. The masks are created by thresholding per-pixel metrics, designed to detect red-eye artifacts.
US7310443B1 - Automatic red eye detection and …
- https://patents.google.com/patent/US7310443B1/en
- A method for the automatic detection and correction of red eye in a digital image is disclosed. The method includes defining a digital image in a hue-saturation-intensity (HSI) color space, and identifying a red eye region in a digital image.
AUTOMATED RED-EYE DETECTION AND CORRECTION IN …
- https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.1968
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions, and then an eye classifier is utilized to confirm whether each candidate region is a human eye.
Automated red-eye detection and correction in digital …
- https://www.sciencegate.app/document/10.1109/icip.2004.1421575
- Automated red-eye detection and correction in digital photographs 2004 International Conference on Image Processing, 2004. ... 10.1109/icip.2004.1421575
Automated red-eye detection and correction in digital …
- https://www.semanticscholar.org/paper/Automated-red-eye-detection-and-correction-in-Zhang-Sun/5b2432ffc4b16af806229b2aaf0425e3c31a099f
- In this paper, we propose a fully automatic approach to detecting and correcting red-eyes in digital images. In order to detect red-eyes in a picture, a heuristic yet efficient algorithm is first adopted to detect a group of candidate red regions and then an eye classifier is utilized to confirm whether each candidate region is a human eye.
Automatic Redeye Correction in Digital Photos
- https://www.researchgate.net/publication/263509966_Automatic_Redeye_Correction_in_Digital_Photos
- Different methods have been introduced for red-eye detection and its correction; mostly used algorithms are those utilized in semi-automatic or manual approaches; this kind of …
Automatic red-eye detection and correction - Semantic …
- https://www.semanticscholar.org/paper/Automatic-red-eye-detection-and-correction-Gaubatz-Ulichney/8eaead90a0ac91bbdbdef0f90303e79299e13011
- A method is presented to automatically detect and correct redeye in digital images. First, faces are detected with a cascade of multi-scale classifiers. The red-eye pixels are then located with several refining masks computed over the facial region. The masks are created by thresholding per-pixel metrics, designed to detect red-eye artifacts.
Automatic Redeye Detection and Correction in Digital …
- https://www.ijsr.net/archive/v4i2/SUB151161.pdf
- for detecting red eye effect in digital photographs. Most of them are based on the detection of face and then correction of the red eye artifacts. In 2001 hardeberg [1][2], presented a semi-automatic method in which the red-eye region had to be selected manually. Later he also proposed a fully
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