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Image processing system

An image processing and image technology, applied in the direction of instruments, character and pattern recognition, computer components, etc.

Active Publication Date: 2018-08-21
FOTONATION LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Thus, the classifier 22 is the bottleneck of the process, as the detector cascade stages must be applied sequentially

Method used

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Examples

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Embodiment Construction

[0037] now refer to figure 2 , shows a TME 10' including a pre-filter 24 according to a first embodiment of the present invention. figure 2 The remaining components function essentially as for figure 1 TME stated unless otherwise stated. In general, the processing flow is as follows:

[0038] 1) Detector buffer 12 receives a detector cascade configuration for both prefilter 24 and classifier 22 .

[0039] 2) The feature calculation module 18 receives the image pixel by pixel as before.

[0040] 3) The pre-filter 24 immediately receives the classifier-level configuration information (node ​​positions, channel information, thresholds) that it is to apply to each window of the image. Typically, the number of detector stages applied by the prefilter is about 10 to 20, and in the example shown is 12 stages.

[0041] 4) Prefilter 24 receives all feature maps from feature buffer 20 in raster order.

[0042] 5) The classifier module 22 also receives the feature map from the fe...

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Abstract

An image processing system comprises a template matching engine (TME). The TME reads an image from the memory; and as each pixel of the image is being read, calculates a respective feature value of aplurality of feature maps as a function of the pixel value. A pre-filter is responsive to a current pixel location comprising a node within a limited detector cascade to be applied to a window withinthe image to: compare a feature value from a selected one of the plurality of feature maps corresponding to the pixel location to a threshold value; and responsive to pixels for all nodes within a limited detector cascade to be applied to the window having been read, determine a score for the window. A classifier, responsive to the pre-filter indicating that a score for a window is below a windowthreshold, does not apply a longer detector cascade to the window before indicating that the window does not comprise an object to be detected.

Description

technical field [0001] The present invention relates to image processing systems. Background technique [0002] Feature detection within images and image streams is becoming an increasingly important function in image acquisition and processing devices. [0003] For example, face detection and tracking as described in European Patent No. EP2052347 (reference number: FN-143) is a well-known example of feature detection in image processing. These techniques enable one or more facial regions within the scene being imaged to be easily delineated and allow subsequent image processing to be based on this information. Such subsequent image processing may include: facial authentication to attempt to identify the individual being imaged, for example, for marking or authentication purposes; autofocus by bringing detected and / or selected facial regions into focus; or defect detection and / or correction. [0004] now refer to figure 1 , shows a block diagram of a template matching en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/161G06V10/955G06V10/751G06F18/2148
Inventor N·尼克阿拉C·拉凯拉C·扎哈里亚S·弗洛普O·艾奥维塔
Owner FOTONATION LTD