Robust Identification of Face Landmarks in Profile Images
نویسندگان
چکیده
Identifying landmark points in facial images is a very important task in computer vision and has several applications. Here we present a fast and robust algorithm capable of identifying a specific set of landmarks on face profile images. The algorithm is based on the local curvature of the profile contour and on the local analysis of the face features. In order to validate the approach, the algorithm has been tested on a set of images. Ground truth data on the real location of the landmarks are compared with the results of our algorithm. A percentage of 92% correct identification and a mean error of 3.5 pixels demonstrate the robustness of the approach. Key-Words: silhouettes, profile images, face landmarks, robust identification
منابع مشابه
A Fast and Robust Method for the Identification of Face Landmarks in Profile Images
Several applications in Computer Vision, like recognition, identification, automatic 3D modeling and animation and non conventional human computer interaction require the precise identification of landmark points in facial images. Here we present a fast and robust algorithm capable of identifying a specific set of landmarks on face profile images. First, the face is automatically segmented from...
متن کاملSectional Anatomy Quiz - II
This mage-based series comprises of a quiz pertaining to the identification of salient and important anatomical structures and landmarks expected to be seen at a given level on the computed tomography (CT). The representative image is followed by a series of images showing the examples of different commonly encountered pathological entities that can be seen at this level in a routine clinical p...
متن کاملRobust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors
In this paper, we propose a robust method for monocular face shape reconstruction (MFSR) using a sparse set of facial landmarks that are detected by most of the off-theshelf landmark detectors. Different from the classical shape-from-shading framework, we formulate the MFSR problem as a Two-Fold Coupled Structure Learning (2FCSL) process, which consists of learning a regression between two subs...
متن کاملFace Alignment in Full Pose Range: A 3D Total Solution
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in the computer vision community. However, most algorithms are designed for faces in small to medium poses (yaw angle is smaller than 45◦), which lack the ability to align faces in large poses up to 90◦. The challenges are three-fold. Firstly, the commonly used la...
متن کاملFace Detection with methods based on color by using Artificial Neural Network
The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...
متن کامل