In this way, the matched feature points in each successive segments are readily computed, which is used as input in the model-based bundle adjustment framework to recover head pose of the 3D face model and obtain the head 6-DOF (including 3 translations and 3 rotations) information in ...
Head pose estimation using manifold learning is challenging due to other appearance variations such as identity and illumination changes. To address the problem, we propose to incorporate supervised information (pose angles of training samples) into the process of manifold learning. Most manifold ...
Accurate and robust 3D head pose estimation is important for face related analysis. Though high accuracy has been achieved by previous works based on 3D morphable model (3DMM), their performance drops with extreme head poses because such models usually only represent the frontal face region. In ...
【论文翻译】Toward Robust and Unconstrained Full Range of Rotation Head Pose Estimation 諒闵 2024 摘要 ...我们提出了一个新的方法用于无约束的端到端头部姿态估计,以解决全范围头部姿态朝向预测的任务。我们解决了模糊的旋转标签的问题,通过引入旋转矩阵的形式用于ground truth数据并且提出了一个连续的6D旋转矩...
Video S1. Examples of 3D tracking of a ChArUco board, mouse, fly, and human using Anipose calibration and no filters applied, related to Figure 3 Videos S2. A walk-through of the Anipose pipeline with video examples of (1) raw detections from DeepLabCut, (2) 2D filtered trajectories, ...
The structure is inspired by Mo- tionVAE [38] and HuMoR [49]; both models, including ours, are based on conditional VAEs [29] where the dis- tribution of plausible pose transition is learned. The key differences are that our model is conditioned by the ...
It is highly non- trivial to design a training mechanism for an RF-HPE model in such scenarios. To address these challenges, we propose OCHID-Fi, the first 3D RF-HPE model capable of extracting 3D hand key- points behind full occlusion. To provide a ...
that consists of an original offline process with an automatic learning step with global consistency, a KF optimization step based on error propagation, and a 3D face model updating methodology. All the above learned information is considered during an online head pose estimation with a formulation ...
1. Head Pose Estimation. (a) If we consider the head as a disembodied rigid object, its pose can be described by yaw, pitch, and roll (b) 2D Face features extracted using the Supervised Descent Method (SDM). (c) 3D anthropometric head model. This 3D model and the 2D features are ...
Also, given its low inference time (~6 ms per head), we consider our model usable even when paired with medium-spec hardware (i.e. GTX 1060 GPU). * Code available at: https://github.com/rafabs97/headpose_final * Demo video at: https://www.youtube.com/watch?v=2UeuXh5DjAE ...