Zobrazeno 1 - 10
of 4 414
pro vyhledávání: '"facial landmark detection"'
Autor:
Chiang, Jui-Che, Hu, Hou-Ning, Hou, Bo-Syuan, Tseng, Chia-Yu, Liu, Yu-Lun, Chen, Min-Hung, Lin, Yen-Yu
Although facial landmark detection (FLD) has gained significant progress, existing FLD methods still suffer from performance drops on partially non-visible faces, such as faces with occlusions or under extreme lighting conditions or poses. To address
Externí odkaz:
http://arxiv.org/abs/2412.13174
Facial landmark detection is a fundamental problem in computer vision for many downstream applications. This paper introduces a new facial landmark detector based on vision transformers, which consists of two unique designs: Dual Vision Transformer (
Externí odkaz:
http://arxiv.org/abs/2411.07167
Achieving a balance between accuracy and efficiency is a critical challenge in facial landmark detection (FLD). This paper introduces Parallel Optimal Position Search (POPoS), a high-precision encoding-decoding framework designed to address the limit
Externí odkaz:
http://arxiv.org/abs/2410.09583
At present, deep neural network methods have played a dominant role in face alignment field. However, they generally use predefined network structures to predict landmarks, which tends to learn general features and leads to mediocre performance, e.g.
Externí odkaz:
http://arxiv.org/abs/2412.00740
Autor:
Wu, Ji-Jia
This paper introduces the Efficient Facial Landmark Detection (EFLD) model, specifically designed for edge devices confronted with the challenges related to power consumption and time latency. EFLD features a lightweight backbone and a flexible detec
Externí odkaz:
http://arxiv.org/abs/2407.10228
Drowsiness detection is essential for improving safety in areas such as transportation and workplace health. This study presents a real-time system designed to detect drowsiness using the Eye Aspect Ratio (EAR) and facial landmark detection technique
Externí odkaz:
http://arxiv.org/abs/2408.05836
Autor:
Hong, Zong-Wei, Lin, Yu-Chen
The domain of computer vision has experienced significant advancements in facial-landmark detection, becoming increasingly essential across various applications such as augmented reality, facial recognition, and emotion analysis. Unlike object detect
Externí odkaz:
http://arxiv.org/abs/2404.06029
Autor:
Lee, Yongju1 (AUTHOR) paulyongju@yonsei.ac.kr, Jang, Sungjun1 (AUTHOR) jeu2250@yonsei.ac.kr, Bae, Han Byeol2 (AUTHOR) hbbae@kunsan.ac.kr, Jeon, Taejae3 (AUTHOR) jtj7587@gmail.com, Lee, Sangyoun1 (AUTHOR) syleee@yonsei.ac.kr
Publikováno v:
Sensors (14248220). May2024, Vol. 24 Issue 10, p3212. 26p.
In this paper, we examine 3 important issues in the practical use of state-of-the-art facial landmark detectors and show how a combination of specific architectural modifications can directly improve their accuracy and temporal stability. First, many
Externí odkaz:
http://arxiv.org/abs/2405.20117
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