@@ -5,12 +5,11 @@ This is a project predict face landmarks (68 points) and head pose (3d pose, yaw ## Install - [caffe](https://github.com/BVLC/caffe) - [dlib face detector](http://dlib.net/)<p> - opencv<p> cd your dlib folder<p> cd python_example<p> ./compile_...
Face landmark localizationSDNExisting Deep Convolutional Neural Network (DCNN) methods for Face Landmark Localization are based on Cascaded Networks or Tasks-Constrained Deep Convolutional Network (TCDCN), which are complicated adoi:10.1007/978-3-319-46654-5_8Zongping Deng...
Face detection, pose estimation, and landmark localization in the wild. In: IEEE conference on computer vision and pattern recognition (CVPR), Providence, RI, USA; 2012. p. 2879–86. Uřičář M, Franc V, Hlaváč V. Detector of facial landmarks learned by the structured output ...
cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch). - add train prototxt · AlphaQi/face-landmark-localization@236d1d5
Existing Deep Convolutional Neural Network (DCNN) methods for Face Landmark Localization are based on Cascaded Networks or Tasks-Constrained Deep Convolutional Network (TCDCN), which are complicated and difficult to train. To solve this problem, this paper proposes a new Single Deep CNN (SDN). ...
Approaches are described for determining facial landmarks in images. An input image is provided to at least one trained neural network that determines a face region (e.g., bounding box of a face) of the input image and initial facial landmark locations corresponding to the face region. The...
Landmark localizationDeformable part modelThis chapter proposes a face detection method based on the facial landmark localization. Firstly, it uses AdaBoost-based frontal face detector to yield coarse face detection results; then it uses the facial landmark detector to get the localization result and...
In this work, we examine landmark localization and feature extraction approaches for the unexplored topic of therapeutic facial exercise recognition. Our goal is to automatically discriminate nine therapeutic exercises that have been determined in cooperation with speech therapists. We use colour, 2.5D ...
For face detection, the first task is face detection (i.e. face or non-face) and the second task is facial feature identification (i.e. mouth, eyes, nose). The multi-task model improves the accuracy of the task over single-task models.Ian Richard Lane...
Joint face detection and Facial Landmark Localization using graph match and pseudo labelZhiqun PanYongxiong WangSunjie Zhang