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We present a method searching for the main symmetric axis in an image based on the SAX representation which converts pixels to symbols and a classical linear time palindrome detecting algorithm. This method generates a curve outlining the axis by dynamic programming and produces a straight axis by RANSAC, a linear fitting method tolerates outliers. The computational complexity is O(mn) on an m×n image,...
Attention based automatic image cropping aims at preserving the most visually important region in an image. A common task in this kind of method is to search for the smallest rectangle inside which the summed attention is maximized. We demonstrate that under appropriate formulations, this task can be achieved using efficient algorithms with low computational complexity. In a practically useful scenario...
Detecting centerlines and estimating widths of linear structures are useful in low level computer vision. In this paper we consider the detection of linear structures with two parallel borders in 2D images. During a distance propagation process, we use a novel method named centerline hit detection to select pixels on the centerlines. Experimental results show the effectiveness and efficiency of our...
Face image quality is an important factor affecting the accuracy of automatic face recognition. It is usually possible for practical recognition systems to capture multiple face images from each subject. Selecting face images with high quality for recognition is a promising stratagem for improving the system performance. We propose a learning to rank based framework for assessing the face image quality...
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