A 68 year old Japanese female with unilateral metamorphopsia of the face that developed after a small haemorrhage in the contralateral retrosplenial region, is described. The patient claimed that the right side of a face, that is, the left side when looked at by the patient, appeared smaller than the left. In addition, her drawings of the face showed some distortions. Objects other than the fac...

Face is a popular topic of research in computer vision, image analysis and understanding. This paper proposes a method to detect straight posed face as well as tilted face in colour images. Algorithm first detects skin colour region and then skin region is further processed by finding connected components and holes. Each connected components is tested to extract facial features and Y-value of e...

Textures play an important role in recognition of images. This paper investigates the efficiency of performance of three texture based feature extraction methods for face recognition. The methods for comparative study are Grey Level Co_occurence Matrix (GLCM), Local Binary Pattern (LBP) and Elliptical Local Binary Template (ELBT). Experiments were conducted on a facial expression database, Japa...

In this paper, we have presented a new face recognition algorithm based on region covariance matrix (RCM) descriptor computed in monogenic scale space. In the proposed model, energy information obtained using monogenic filter is used to represent a pixel at different scales to form region covariance matrix descriptor for each face image during training phase. An eigenvalue based distance measur...

The C-Planarity problem asks for a drawing of a clustered graph, i.e., a graph whose vertices belong to properly nested clusters, in which each cluster is represented by a simple closed region with no edgeedge crossings, no region-region crossings, and no unnecessary edge-region crossings. We study C-Planarity for embedded flat clustered graphs, graphs with a fixed combinatorial embedding whose...

Recognition of a person through his face is the primitive mean of human identification. Identifying a person through face biometric have grown its importance through the last decade and researchers have attempted to find unique facial feature-points. Facial data also contains change with expression and age, which makes recognition through face difficult. And there has developed a stringent nece...

Large-scale variations still pose a challenge in unconstrained face detection. To the best of our knowledge, no current face detection algorithm can detect a face as large as 800 × 800 pixels while simultaneously detecting another one as small as 8 × 8 pixels within a single image with equally high accuracy. We propose a two-stage cascaded face detection framework, Multi-Path Region-based Convo...

The Pass Peak Formation is a Tertiary basin-flank deposit exposed throughout much of the Hoback Basin; a depression physiographically distinct from, but structurally continuous with, the northern Green River Basin. Two lithofacies of the Pass Peak Formation are identified. A northern quartzite conglomeratesandstone facies, possibly as thick as 3200 ft, intertongues southward with a sandstone-si...

Abstract. Feature extraction is one of the important tasks in face recognition. Moments are widely used feature extractor due to their superior discriminatory power and geometrical invariance. Moments generally capture the global features of the image. This paper proposes Krawtchouk moment for feature extraction in face recognition system, which has the ability to extract local features from an...

Thls paper proposes a new perceptual approach to noisy X-ray image segmentation. It consists of the five major s t e p : (1) Pre-segmentation, (2) Improved region growing, (3) Object detection. The heuristic knowledge about the biological struction of the human organs and simulation of human expert diagnosis is arranged by knowledge mechanism. And the knowledge driven interpretation is consiste...