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Method for predicting photographing time point and device adopting same

A technology of photographing time and prediction method, which is applied to parts of color TVs, parts of TV systems, TVs, etc., can solve the misjudgment of non-frontal faces, reduce the probability of successfully photographing frontal faces, and cannot accurately photograph frontal faces Face and other problems, to achieve the effect of increasing the probability

Inactive Publication Date: 2012-12-19
ALTEK CORP
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] However, if it is judged that the frontal face does not appear, but the human face naturally turns and changes to a frontal face after the judgment, the frontal face cannot be accurately photographed, thus reducing the probability of successfully photographing a frontal face
[0004] In addition, if a method that requires pre-training, such as establishing a frontal face template database, is used to determine whether a face is a frontal face, it is often misjudged that a non-frontal face is a frontal face, and the shutter is further notified to take a picture , the same situation where the frontal face cannot be accurately captured

Method used

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  • Method for predicting photographing time point and device adopting same
  • Method for predicting photographing time point and device adopting same
  • Method for predicting photographing time point and device adopting same

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Embodiment Construction

[0032] Please refer to figure 1 , which is a schematic flowchart illustrating a preferred embodiment of the method for predicting the time point of photographing in the present invention. The flow of the method for predicting the time point of photographing in the present invention is as follows: firstly, the detection step A1 is performed to start image detection. After the detection step A1 is completed, the face judgment step A2 is performed again. For the detected multiple images, the face judgment step A2 includes judging a face with a method that does not require prior training or requires prior training, For example, whether a human face appears in these images, methods that do not require prior training are, for example, edge analysis, color analysis, or feature analysis. The methods that require pre-training are, for example, neural network-like or template comparison.

[0033] After the face judging step A2 is completed, when it is judged that there is a face, the ...

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PUM

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Abstract

The invention discloses a method for predicting the photographing time point and a device adopting the method. The method comprises the following steps: detecting, judging the face, classifying the face, generating a difference value if the face is the non-frontal face so as to calculate the difference value, calculating the difference value, calculating the difference values which are adjacent in sequence by using a calculating unit, judging the change, increase and decrease of the difference values which are adjacent in sequence so as to predict the photographing time, and informing the shutter of photographing. The device adopting the method comprises a face judging unit, a calculating unit, a training database and a shutter. The method and the device can be used for predicting the point of time when the non-frontal face rotates and changes into the frontal face, so that the frontal face can be photographed more successfully, and the non-frontal face can not be misjudged easily as the frontal face.

Description

technical field [0001] The present invention relates to a method for predicting a photographing time point and a device using the method for predicting a photographing time point, in particular to a method for predicting the time point when a non-frontal face turns into a frontal face to improve success A method for predicting the shooting time point of the probability of shooting a frontal face and a device using the method for predicting the shooting time point. Background technique [0002] At present, the methods for predicting the time point of taking pictures of human faces are mostly based on whether the frontal face of the human body appears or not, and then further determines whether to notify the shutter to take pictures or not. Specifically, first judge whether a face appears with a method that does not require prior training or requires prior training. Whether the face is a frontal face, if it is judged that the frontal face has appeared, the shutter is further ...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04N5/232
Inventor 杨岱璋张文彦
Owner ALTEK CORP
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