In this dissertation, we focus on several aspects of models that aim to predict performance of a face recognition system performance prediction models are commonly based on the following two types of performance predictor features: a) image quality features and b) features derived solely from similarity. This thesis examines and implements some state-of-the-art methods for human face recognition in order to examine all aspects of the face recognition task at a generic level, we have divided the task into three consecutive steps: 1) skin color detection (for identifying regions with skin-colored), 2) face detection (no. Semi-supervised pattern recognition and machine learning for eye-tracking thomas b kinsman [email protected] follow this and additional works at: http:// scholarworksritedu/theses this dissertation is brought to you for free and open access by the thesis/dissertation collections at rit scholar. Thesis automated tropical cyclone eye detection using discriminant analysis submitted by robert demaria department of computer science in partial fulfillment of the requirements for the degree of master of science colorado state university fort collins, colorado fall 2015 master's. Applications of face recognition have had mixed success when deployed in conditions where the assumption of controlled image acquisition no longer holds this dissertation focuses on this unconstrained face recognition problem, where face images exhibit the same amount of variability that one would encounter in.
Master thesis: smartphone iris recognition framework increased usage of smartphones has opened up a new avenue for exploring them as biometric sensors recently apple inc, has introduced fingerprint sensor integrated smartphone and due to the low level robustness provided by such fingerprint sensor based. Face recognition by means of advanced contributions in machine learning phd thesis dissertation by virginia espinosa duró submitted to the universitat politècnica de catalunya in partial fulfillment of the requirements for the phd degree supervised by dr enric monte moreno and dr marcos. This thesis investigates the problem of facial image analysis human faces contain a lot of infor- mation that is useful for many applications for instance, the face and iris are important biometric features for security applications facial activity analysis such as face expression recognition is helpful for perceptual user. The rest of this thesis is organized as follows: chapter 2 discusses the state-of- the- art developments in the area of face detection using template matching techniques in chapter 3 the additional features detection such as eye and mouth detector is added to the system also, rotation invariant characteristics are tested and.
Model-based eye detection and animation sandra trejo guerrero in this thesis we present a system to extract the eye motion from a video stream containing a human face and applying this eye motion into a virtual character by the notation eye motion estimation, we mean the information which describes the location of. Face detection bernd heisele artificial intelligence laboratory massachusetts institue of technology cambridge, massachusetts 02139 http://wwwaimitedu the problem: the problem is to develop a trainable system for face detection which is able to handle faces rotated in phd thesis, mit, department of electrical.
I thank dr jan štovıcek for leading my thesis, spending time with me on consultations and helping me understand the mathematical background of the iris recognition i would also like to thank pavel horal, who has been interested in this topic in the past and provided me with his results and insights within. Finally, this thesis presents a description of 3d facial reconstruction from a single 2d image this is done by using prior knowledge in form of a statistical shape model of faces in 3d keywords: face recognition, face detection, lausanne protocol, 3d face re- construction, principal component analysis, fisher linear. Recognition of human iris patterns a thesis submitted on 14 th may, 2012 in partial fulfillment of the requirements for the degree of bachelor of technology in computer science and engineering by animesh das (roll no-108cs056) under the guidance of prof r baliarsingh computer science and engineering.