Results 181 to 190 of about 2,947,234 (236)

3D Human Pose Estimation from Monocular Video Sequences in Underwater Scenarios. [PDF]

Sensors (Basel)
Liang S, Liu H, Liu P, Zhang D, Yu R, Zhou X, Zhou Z.   +6 more
europepmc   +1 more source

Measurement of Shank Length in Live Chickens Using Visible-Infrared Image Fusion and Keypoint Prediction. [PDF]

Animals (Basel)
Ma C, Chen R, Huang K, Yin X, Cai Z, He H, Huang J, Yang J, Fang C.   +8 more
europepmc   +1 more source

Recent Advances in Vision-Based Beef Cattle Body Measurement Technologies. [PDF]

Animals (Basel)
Deng X, Zhang F, Jin G, Cui L, Zhang D, Zhang F.   +5 more
europepmc   +1 more source

KGDet: Keypoint-Guided Fashion Detection

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Locating and classifying clothes, usually referred to as clothing detection, is a fundamental task in fashion analysis. Motivated by the strong structural characteristics of clothes, we pursue a detection method enhanced by clothing keypoints, which is a compact and effective representation of structures.
Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu 0037, Bohui Zhu, Hai Li, Shenghua Gao   +6 more
core   +4 more sources

Keypoint Detection Using Higher Order Laplacian of Gaussian

IEEE Access, 2020
This paper presents a keypoint detection method based on the Laplacian of Gaussian (LoG). In contrast to the Difference of Gaussian (DoG)-based keypoint detection method used in Scale Invariant Feature Transform (SIFT), we focus on the LoG operator and ...
Jeongil Seo, Unsang Park, Saleh Saeed
exaly   +3 more sources

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 ...
Ronghua Gao, Wang Rong
exaly   +3 more sources

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Robust Keypoint Detection

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019
In keypoint regression, models are trained to consume an image and produce the x, y coordinates of some entity, e.g., a person's nose or corner of a document. Typical methods for doing so include linear regression over deep features to directly produce x, y coordinates and training networks to regress a dense heatmap around each keypoint.
Christopher Tensmeyer, Tony R. Martinez
openaire   +2 more sources

Keypoint detection by cascaded fast

2014 IEEE International Conference on Image Processing (ICIP), 2014
When the FAST method for detecting corner features at high speed is applied to images that include complex textures (regions that include foliage, shrubbery, etc.), many corners that are not needed for object recognition are detected because FAST defines corner features on the basis of a 16-pixel bounding circle.
Takahiro Hasegawa, Yuji Yamauchi, Mitsuru Ambai, Yuichi Yoshida, Hironobu Fujiyoshi   +4 more
openaire   +2 more sources