Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification
نویسندگان
چکیده
Nonlinear transformation of one image plane relative to another by spatially constrained elastic matching of two pixel grids is proposed as a technique of measuring image similarity for the purpose of featureless face identi cation. The elastic matching algorithm is devised as a combination of two dynamic programming procedures applied independently to each row and then to each column of the pixel grid. In contrast to the commonly adopted method of measuring face image similarity based on the dynamic link architecture, the proposed method is non-iterative and it avoids image segmentation. Most importantly the method provides the linear computational complexity with respect to the number of pixels without application of parallel computers.
منابع مشابه
A Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image
Human facial generation of example image is used as a requirement for biometric applications for the purpose of identifying individuals. In this paper, face generation consists of three main steps. In the first step, detection of significant lines and edges of the example image are carried out using nonlinear grayscale morphology. Then, hair areas are identified from the face of sample. The fin...
متن کاملSynthesis of human facial expressions based on the distribution of elastic force applied by control points
Facial expressions play an essential role in delivering emotions. Thus facial expression synthesis gain interests in many fields such as computer vision and graphics. Facial actions are generated by contraction and relaxation of the muscles innervated by facial nerves. The combination of those muscle motions is numerous. therefore, facial expressions are often person specific. But in general, f...
متن کاملCluster-Based Image Segmentation Using Fuzzy Markov Random Field
Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...
متن کاملUsing a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملGreen Energy Generation in Buildings: Grid-Tied Distributed Generation Systems (DGS) With Energy Storage Applications to Sustain the Smart Grid Transformation
The challenge of electricity distribution’s upgrade to incorporate new technologies is big, and electric utilities are mandated to work diligently on this agenda, thus making investments to ensure that current networks maintain their electricity supply commitments secure and reliable in face of disruptions and adverse environmental conditions from a variety of sources. The paper presents a new ...
متن کامل