Results 91 to 100 of about 10,859 (240)

Speech Emotion Recognition Using Cepstral Features Extracted With Gammatone Filter Banks Realized Based on ERB and Mel Frequency Scales

IEEE Access
Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER systems. Among these, Mel-frequency cepstral coefficients (MFCC)
Nagarajan Sugan, Lakshmi Sutha Kumar, Nettimi Satya Sai Srinivas   +2 more
doaj   +1 more source

Reducing Keypoint Database Size [PDF]

, 2009
Keypoints are high dimensional descriptors for local features of an image or an object. Keypoint extraction is the first task in various computer vision algorithms, where the keypoints are then stored in a database used as the basis for comparing images or image features. Keypoints may be based on image features extracted by feature detection operators
Shahar Jamshy, Eyal Krupka, Yehezkel Yeshurun   +2 more
openaire   +1 more source

Manipulating posture implicitly through environmental constraints influences mood and risk‐taking behaviour

British Journal of Psychology, EarlyView.
Abstract Adopting physical expressions of emotion has feedback effects on individuals' mood and behaviour; for example, adopting the expansive and contractive body language of dominance and submission can affect individuals' feelings of power. However, postural feedback paradigms almost exclusively use deliberate, active posture manipulations, which ...
Soren Wainio‐Theberge, Jorge Armony
wiley   +1 more source

LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model [PDF]

The capacity of existing human keypoint localization models is limited by keypoint priors provided by the training data. To alleviate this restriction and pursue more general model, this work studies keypoint localization from a different perspective by ...
Wang, Dongkai, Zhang, Shiliang, Xuan, Shiyu   +2 more
core   +1 more source

2D Animal Skeletons Keypoint Detection: Research Progress and Future Trends

IEEE Access
Research on two-dimensional keypoint detection within the domain of computer vision has experienced significant advancements. In contrast to the high precision and applicability achieved in human applications, the field of animal keypoint detection ...
Pengfei Ma, Ronghua Gao, Qifeng Li, Qinyang Yu, Rong Wang, Chengrong Lai, Weiwei Huang, Peng Hao, Zhaoyang Wang, Xuwen Li   +9 more
doaj   +1 more source

MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild

Computer Graphics Forum, EarlyView.
Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech, Yotam Nitzan, Ulysse Mizrahi, Dov Danon, Amit H. Bermano   +4 more
wiley   +1 more source

GAST-FPS: A 3D Keypoint Selection Method with Global Sliding Adaptive Threshold for Keypoint-based 6D Pose Estimation

, 2022
The 3D keypoint selection method has a significant impact on the performance of keypoint-based 6D pose estimation. State-of-the-art selection methods do not perform well in textureless regions and uneven texture distribution, therefore, we propose the ...
Luo, Kaiqing, Cheng, Jintao, Huang, Weihao, Qiu, Jian, Wu, Jin, Yuan, Yufeng   +5 more
core   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source

Robo‐Saber: Generating and Simulating Virtual Reality Players

Computer Graphics Forum, EarlyView.
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +1 more source

Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching [PDF]

Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into full-supervised and few-shot class-agnostic approaches. The former typically relies on laborious and time-consuming manual annotations,
Luo, Ping, Shao, Wenqi, Qiao, Yu, Zhang, Kaipeng, Xu, Lumin, Zheng, Nanning, Zhang, Hao, Lai, Shenqi   +7 more
core   +1 more source