3.0 Methodology The figure 3.1 below shown the overall general workflow of the face emotion recognition system and OpenCV will be applied through the whole process. Figure 3.1 General flow of the system This project will mainly focus on face detection and feature extraction and only one webcam will be used and mounted on a laptop so that the image frame can be extracted out from the video. After we get the image, we will proceed to another stage which is face detection to detect the human face
addition, 2D to 3D, 3D video will meet the need... ... middle of paper ... ...th, im.nChannels) # # This would be easier if we had COI support for cv.Set, but it doesn't # work that way. # OpenCV uses BGR order (even if input image is greyscale): # http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html # red goes on the left, cyan on the right: # http://en.wikipedia.org/wiki/Anaglyph_image # b = cv.CreateImage(size, im.depth, 1) g = cv.CreateImage(size, im.depth, 1) r = cv.CreateImage(size
Abstract:Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. In this report, we discuss a method for detecting drivers’ drowsiness using Haar Classifier[I] and Template Matching Algorithm. The system then subsequently alerts the driver in order to prevent accidents. It works by monitoring the eyes of the driver and sounding an alarm when he/she is drowsy with the help of a camera that points
sequence (LGBPHS): a novel non-statistical model for face representation and recognition,” ICCV, vol. 1, pp.786-791, 2005. [6]E.Vazquez-Fernandez, H.Garcia-Pardo, “Built-inface recognitionfor smart photo sharing in mobile devices”, IEEE 2011. [7] OpenCV - Android Website, http://opencv.willowgarage.com/wiki/Android. [8] L.Meylan, D.Alleysson, “Model of retinal local adaptation for the tone mapping of color filter array images”, Vol. 24,No. 9/September 2007/ J. Opt. Soc. Am. A, pp 2807-2816.
I can still remember how frustration and desperation engulfed me on the first lecture of introduction to computer and C language, when I found myself cannot understand any single word the professor said. It is simply because I never get to know how computer work before starting undergraduate study. However, instead of just sitting in the lecture room and feeling sorry for my ignorance, I prefer trying me best to fill in the gap and make some difference. Armed with my outstanding mathematical and
Statement of Purpose All through my undergraduate studies, I have strived to develop a strong understanding of topics across the breadth of computer science as I believe an initial holistic approach can prove a solid foundation for any future pursuits in the field. Now, I would like to delve deeper into those topics that interest me and carve out a niche for myself in them. Over the years, I have been particularly interested in Computer Security. It is required in almost every aspect of systems
Abstract- In this paper the method face Recognition is using to access Automated teller machines (ATMs). ATMs are used to do banking function like checking balance withdraw money, changing pin numbers etc. The ATM cards and pin numbers are used for security purpose. But this system is using SIM card in place of ATM cards. In order to improve security the system first authenticate the person if he/she is recognized then it will ask the password of the account. This system used Spartan 3 FPGA board