通过分类损失、回归损失两种约束使得鲁棒性更高,适合大角度:By using joint binned pose classification and regression, the network has greater robustness which improves accuracy for extreme pose prediction 在synthetic上训练可以在real dataset上得到较好结果 2. DataSet AFLW(real) 300W-LP(synthetic) BIWI(real)...
Hopenet is an accurate and easy to use head pose estimation network. Models have been trained on the 300W-LP dataset and have been tested on real data with good qualitative performance. For details about the method and quantitative results please check the CVPR Workshop paper. new GoT trailer...
We sample two random frames from our dataset at each step: the source frame 𝐱s and the driver frame 𝐱d. Our model imposes the motion of the driving frame (i.e., the head pose and the facial expression) onto the appearance of the source frame to produce an image 𝐱^s→d. ...
Second, we develop a hybrid approach for ego-head pose estimation, integrating the results of monocular SLAM and learning. Third, we propose a conditional diffusion model to generate full-body poses conditioned on the head pose. Finally, we contribute a large-scale synthetic dataset ...
looking at each other in a video shot; and (iv) introduce new ground truth annotation for this task, extending the TV human interactions dataset (Patron-Perez et al. 2010) The performance of the methods is evaluated on this dataset, which consists of 300 video clips extracted from TV shows...
Furthermore, a dataset created with the proposed method is provided that allows a validation of appearance-based head pose estimation algorithms.Vater, SebastianPallauf, JohannesHoffmann, MarianStein, ThorstenLeon, Fernando PuenteTechnisches Messen: Sensoren, Gerate, Systeme...
Evaluations conducted on a specialized driving dataset, Pandora, demonstrate HYDE-F's competitive performance compared to existing methods, surpassing current techniques in terms of average Mean Absolute Error (MAE) by nearly 1. Moreover, case studies highlight the successful integration of HYDE-F ...
The dataset contains over 15K images of 20 people (6 females and 14 males - 4 people were recorded twice). For each frame, a depth image, the corresponding rgb image (both 640x480 pixels), and the annotation is provided. The head pose range covers about +-75 degrees yaw and +-60 de...
its applicability in classifying a broad range of coordinated head and eye movements. We define movement categories by the functional role of the eye movement, as well as the motion of an object within an exocentric frame of reference. As a result, events in our dataset is classified as ...
Google Scholar [17] Nordstrom M M, Larsen M, Sierakowski J, et al. The IMM Face Database -An Annotated Dataset of 240 Face Images.I nformatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004. Google Scholar Recently...