Deep Learning for Head Pose Estimation: A Survey
CC BY
Lưu vào:
| Tác giả chính: | , |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Nhà xuất bản: |
Springer
2023
|
| Chủ đề: | |
| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s42979-023-01796-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341 |
| Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
| id |
oai:localhost:PNK-8341 |
|---|---|
| record_format |
dspace |
| spelling |
oai:localhost:PNK-83412023-04-27T01:35:23Z Deep Learning for Head Pose Estimation: A Survey Andrea, Asperti Daniele, Filippini HPE Deep Learning CC BY Head pose estimation (HPE) is an active and popular area of research. Over the years, many approaches have constantly been developed, leading to a progressive improvement in accuracy; nevertheless, head pose estimation remains an open research topic, especially in unconstrained environments. In this paper, we will review the increasing amount of available datasets and the modern methodologies used to estimate orientation, with a special attention to deep learning techniques. We will discuss the evolution of the field by proposing a classification of head pose estimation methods, explaining their advantages and disadvantages, and highlighting the different ways deep learning techniques have been used in the context of HPE. An in-depth performance comparison and discussion is presented at the end of the work. We also highlight the most promising research directions for future investigations on the topic. 2023-04-27T01:35:23Z 2023-04-27T01:35:23Z 2023 Book https://link.springer.com/article/10.1007/s42979-023-01796-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
HPE Deep Learning |
| spellingShingle |
HPE Deep Learning Andrea, Asperti Daniele, Filippini Deep Learning for Head Pose Estimation: A Survey |
| description |
CC BY |
| format |
Book |
| author |
Andrea, Asperti Daniele, Filippini |
| author_facet |
Andrea, Asperti Daniele, Filippini |
| author_sort |
Andrea, Asperti |
| title |
Deep Learning for Head Pose Estimation: A Survey |
| title_short |
Deep Learning for Head Pose Estimation: A Survey |
| title_full |
Deep Learning for Head Pose Estimation: A Survey |
| title_fullStr |
Deep Learning for Head Pose Estimation: A Survey |
| title_full_unstemmed |
Deep Learning for Head Pose Estimation: A Survey |
| title_sort |
deep learning for head pose estimation: a survey |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s42979-023-01796-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8341 |
| _version_ |
1764358629897535488 |
| score |
8.881002 |