Canon Kabushiki Kaisha

Libing Wang

Xin Ji

Xinwu Chen

Yoshihiro Ishida

The invention relates to a human eye detection method, apparatus, system and storage medium. According to the invention, candidate eye areas are detected from a given image by: reading in the image; analyzing the image and getting a list of candidate eye areas; selecting one unverified candidate eye area from said list; determining a neighborhood region of the selected candidate eye area; calculating the neighborhood region's size, which is recorded as S; processing the region, obtaining dark areas; counting the number of dark areas, which number is recorded as N; comparing the ratio N/S to a predetermined first threshold, if the ratio N/S is smaller than said first threshold, the candidate eye area is determined as a false eye area and deleted from the list; else, the candidate eye area is determined as a real eye area and remains in the list; repeating foresaid selecting step to comparing step until there is no unverified candidate eye area in the list; and outputting the list for purpose of subsequent processing of the image. The invention may be applied to human body detection.

Human eye detection method, apparatus, system and storage medium

A method of processing an image includes steps of identifying one candidate for a human face region within an image; calculating a probability that the candidate for human face region represents a human face; and saving the probability as attached information to the image. The method of processing an image can also include steps of identifying one candidate for human face region within an image; calculating a probability that the candidate for human face region represents a human face; judging whether or not the candidate for human face region represents a human face by comparing the probability with a threshold; and saving a result of the step of judging as attached information to the image. According to these methods, results of identifying candidates for human face regions will be saved to the image, and further processes to be conducted on the image can be facilitated.

Image processing method, apparatus and storage medium

The present invention provides a method of processing an image, which includes the steps of identifying one candidate for human face region within the image, selecting a mouth neighborhood within the candidate for human face region, processing the mouth neighborhood, and classifying the candidate for human face region based on results of the processing step. According to the method of the present invention, human faces are detected just based on pixels included in the mouth neighborhood, but not all the pixels of the entire face.

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Beijing, China

Libing Wang