Image processing apparatus and image processing method
An image processing device and image processing technology, applied in image data processing, image enhancement, image analysis and other directions, can solve the problems of inconsistent templates, inability to cope, and inability to accurately detect faces, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
no. 1 approach
[0047]
[0048] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
[0049] The image processing device according to the first embodiment is a device that, after acquiring an image such as a photograph and acquiring a feature value corresponding to the image, recognizes a target object included in the image. figure 1 It is a system configuration diagram of the image processing device 10 according to this embodiment.
[0050] The image processing device 10 is composed of an image acquisition unit 11 , a feature acquisition unit 12 , a feature correction unit 13 , an image recognition unit 14 , and an input / output unit 15 .
[0051]The image acquisition unit 11 is a means for acquiring an image to be processed, and in this embodiment is a storage device such as a fixed disk drive or a flash memory. In addition, the image acquisition unit 11 may be a component that acquires an image from outside the device (for example...
no. 2 approach
[0090] In the first embodiment, the value calculated based on the luminance value of the pixel is directly used as the feature amount. In contrast, the second embodiment is an embodiment in which a value encoded based on a brightness value of a pixel is used as a feature value. The configuration of the image processing device according to the second embodiment is the same as that of the first embodiment, so detailed description will be omitted, and only differences will be described.
[0091] First, a case where encoded values are used as feature quantities will be described. Here, a method of calculating feature quantities using a method called FAST is exemplified.
[0092] FAST (Features from Accelerated Segment Test) is a method for detecting a corner of a target object. In FAST, it is determined whether the pixels on the circumference surrounding the pixel of interest are brighter or darker than the pixel of interest, and when the same determination continues for a pre...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 