The Fast Integration of a Rotated Rectangle Applied to the Rotated Haar-like Features for Rotated Objects Detection
The Fast Integration of a Rotated Rectangle Applied to the Rotated Haar-like Features for  Rotated Objects Detection
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Keywords

haar-like features
integral image
face detection
object detection
viola
adaboost

How to Cite

Mohamed Oualla, Khalid Ounachad, & Abdelalim Sadiq. (2020). The Fast Integration of a Rotated Rectangle Applied to the Rotated Haar-like Features for Rotated Objects Detection. Global Journal of Computer Science and Technology, 20(F1), 9–16. Retrieved from https://gjcst.com/index.php/gjcst/article/view/346

Abstract

The Integral Image technique used by Viola and Jones is generally used to calculate the integral of a rectangular filter in an input picture This filter is a rectilinear rectangle We propose a method to integrate a rotated one by any angle of rotation inside an image based on the Bresenham algorithm of drawing a segment We use some pixels called key points - that forms the four segments of a rotated rectangle to calculate its Integral Image Our method focuses on three essential tasks the first is to determine the rule for drawing a segment SDR the second is to identify all the key points of the rectangle r and the third is to calculate the integral image The speed of this method depends on the size and angle of rotation of the rectangle To demonstrate the efficiency of our idea we applied it to the rotated Haar-like features that we proposed in a later work 12 which had as objectives the improvement of the Viola and Jones algorithm to detect the rotated faces in a given image We performed tests on more widespread databases of images which showed that the application of this technique to rotated Haar-Like features improves the performance of object detectors in general and faces in particular
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