-
Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition
This paper presents a robust and dynamic face recognition technique base...
read it
-
ROI Segmentation for Feature Extraction from Human Facial Images
Human Computer Interaction (HCI) is the biggest goal of computer vision ...
read it
-
Agrupamento de Pixels para o Reconhecimento de Faces
This research starts with the observation that face recognition can suff...
read it
-
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition
Concatenation of the deep network representations extracted from differe...
read it
-
Facial Keypoints Detection
Detect facial keypoints is a critical element in face recognition. Howev...
read it
-
Robotics Meets Cosmetic Dermatology: Development of a Novel Vision-Guided System for Skin Photo-Rejuvenation
In this paper, we present a novel robotic system for skin photo-rejuvena...
read it
-
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image
This paper aims at determining the characteristics of a face image by ex...
read it
Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition
This paper is aimed at developing and combining different algorithms for face detection and face recognition to generate an efficient mechanism that can detect and recognize the facial regions of input image. For the detection of face from complex region, skin segmentation isolates the face-like regions in a complex image and following operations of morphology and template matching rejects false matches to extract facial region. For the recognition of the face, the image database is now converted into a database of facial segments. Hence, implementing the technique of Elastic Bunch Graph matching (EBGM) after skin segmentation generates Face Bunch Graphs that acutely represents the features of an individual face enhances the quality of the training set. This increases the matching probability significantly.
READ FULL TEXT
Comments
There are no comments yet.