3D human face description: landmarks measures and geometrical features

نویسندگان

  • Enrico Vezzetti
  • Federica Marcolin
چکیده

Morphometric measures and geometrical features are widely used to descript faces. Generally, they are extracted punctually from landmarks, namely anthropometric reference points. The aims are various, such as face recognition, facial expression recognition, face detection, study of changes in facial morphology due to growth, or dysmorphologies. Most of the time, landmarks were extracted with the help of an algorithm or manually located on the faces. Then, measures are computed or geometrical features are extracted to perform the scope of the study. This paper is intended as a survey collecting and explaining all these features, in order to provide a structured user database of the potential parameters and their charateristics. Firstly, facial soft-tissue landmarks are defined and contextualized; then the various morphometric measures are introduced and some results are given; lastly, the most important measures are compared to identify the best one for face recognition applications.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

3D Human Face Soft Tissues Landmarking: An Advanced Approach

Face study and description through landmarks is a key activity in many fields, in particular the medical one for both corrective and aesthetic surgery purposes. In a previous work, we used a geometric approach to automatically extract landmarks working in the Differential Geometry domain, through the coefficients of the Fundamental Forms, the Principal Curvatures, Mean and Gaussian Curvatures a...

متن کامل

Hybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition

Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...

متن کامل

3D Facial Image Comparison using Landmarks

Many researches have been dealing with the face recognition challenge of the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, etc. The last few years more and more 2D face recognition algorithms are improved and tested on less than perfect images. However, 3D models hold more information of the face, like surface information, that can be used ...

متن کامل

Geometrical descriptors for human face morphological analysis and recognition

The human eye, connected to the brain, gives people the possibility to immediately, automatically and exactly recognize one person from another. A main aim is obviously to “copy” this recognition mechanism of the brain and to use it as a means for face recognition. Since the human recognition happens through an automatic “authentication” of facial shape and features, this face study is totally ...

متن کامل

3D face recognition: An automatic strategy based on geometrical descriptors and landmarks

In the last decades, several three‐dimensional face recognition algorithms have been thought, designed, and assessed. What they have in common can be hardly said, as they differ in theoretical background, tools, and method. Here we propose a new 3D face recognition algorithm, entirely developed in Matlab®, whose framework totally comes from Differential Geometry. Firstly, 17 soft‐tissue landmar...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Image Vision Comput.

دوره 30  شماره 

صفحات  -

تاریخ انتشار 2012