The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


In this paper, a LBP- based profile face recognizer for identifying a query face image is proposed. A robust heuristic approach is proposed to improve the weight set of LBP face recognizers. Our method can be combined with other variants of LBP feature extraction to improve their accuracy, because it can help to avoid the local maxima. For identifying a profile face image, an appropriate framework predicting the pose range of image to choose the suitable gallery for recognition is presented. It helps us to avoid error propagation when pose prediction returns false results. Recognizing image with gallery set of surrounding pose range increases chance of input image to match its subject’s sample images. Experimental results on the FERET database show the effectiveness of these methods.

Keywords

Profile Face, Local Binary Pattern, Concatenated Local Binary Pattern, Heuristic Weight Search, Pose Range.
User