We present an algorithm for automatic localization of landmarks on 3D faces. An active shape model, ASM, is used as a statistical joint location model for configurations of facial features. The ASM is adapted to individual faces via a guided search whereby landmark specific shape index models are matched to local surface patches. The algorithm is trained and tested on 912 3D face images from the face recognition grand challenge dataset. Results demonstrate that the automatic procedure successfully and reliably locates landmarks and, compared with an iterative closest point (ICP) algorithm, reduces the mean error for location of landmarks by nearly a half. ©2008 The Institution of Engineering and Technology
Abstract — Automatic localization of 3D facial features is im-portant for face recognition, tracking...
International audience3D face landmarking aims at automatic localization of 3D facial features and h...
Abstract—A real-time algorithm for accurate localization of facial landmarks in a single monocular i...
International audienceIn this paper, a 3D Active Shape Model (3DASM) algorithm is presented to autom...
In this research, two novel methods on automatic landmark recognition and localization on 3D face sc...
Abstract—We present a method for the automatic localization of facial landmarks that integrates non-...
Face analysis from 3D scanned data is an important alternative to the more common approaches that ex...
Face analysis from 3D scanned data is an important alternative to the more common approaches that ex...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
Face landmarking is an important task in many face image processing approaches. Detecting and locali...
Automatic localization of 3D facial features is important for face recognition, tracking, modeling ...
This thesis describes a new framework for 3D surface landmarking and evaluates its per-formance for ...
Abstract — Automatic localization of 3D facial features is im-portant for face recognition, tracking...
International audience3D face landmarking aims at automatic localization of 3D facial features and h...
Abstract—A real-time algorithm for accurate localization of facial landmarks in a single monocular i...
International audienceIn this paper, a 3D Active Shape Model (3DASM) algorithm is presented to autom...
In this research, two novel methods on automatic landmark recognition and localization on 3D face sc...
Abstract—We present a method for the automatic localization of facial landmarks that integrates non-...
Face analysis from 3D scanned data is an important alternative to the more common approaches that ex...
Face analysis from 3D scanned data is an important alternative to the more common approaches that ex...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
We present a method for the automatic localization of facial landmarks that integrates non-rigid def...
Face landmarking is an important task in many face image processing approaches. Detecting and locali...
Automatic localization of 3D facial features is important for face recognition, tracking, modeling ...
This thesis describes a new framework for 3D surface landmarking and evaluates its per-formance for ...
Abstract — Automatic localization of 3D facial features is im-portant for face recognition, tracking...
International audience3D face landmarking aims at automatic localization of 3D facial features and h...
Abstract—A real-time algorithm for accurate localization of facial landmarks in a single monocular i...