2-D/3-D fusion-based robust pose normalisation of 3-D livestock from multiple RGB-D cameras
出版年份 2021 全文链接
标题
2-D/3-D fusion-based robust pose normalisation of 3-D livestock from multiple RGB-D cameras
作者
关键词
Precision livestock farming, Body measurement, 2-D/3-D fusion, Pose normalisation, point clouds
出版物
BIOSYSTEMS ENGINEERING
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-12-31
DOI
10.1016/j.biosystemseng.2021.12.013
参考文献
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- (2021) Patrizia Tassinari et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds
- (2020) Zhipeng Luo et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Research on 3D surface reconstruction and body size measurement of pigs based on multi-view RGB-D cameras
- (2020) Shi Shuai et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- GRNet: Geometric relation network for 3D object detection from point clouds
- (2020) Ying Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-level monitoring of three-dimensional building changes for megacities: Trajectory, morphology, and landscape
- (2020) Shisong Cao et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Pruning multi-view stereo net for efficient 3D reconstruction
- (2020) Xiang Xiang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery
- (2020) Alexey Ruchay et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A bilateral symmetry based pose normalization framework applied to livestock body measurement in point clouds
- (2019) Hao Guo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images
- (2019) Debaditya Acharya et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data
- (2019) Zheng Gong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera
- (2018) Andrea Pezzuolo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A portable and automatic Xtion-based measurement system for pig body size
- (2018) Ke Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- L 0 -regularization-based skeleton optimization from consecutive point sets of kinetic human body
- (2018) Yong Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Automated body weight prediction of dairy cows using 3-dimensional vision
- (2018) X. Song et al. JOURNAL OF DAIRY SCIENCE
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A voting-based statistical cylinder detection framework applied to fallen tree mapping in terrestrial laser scanning point clouds
- (2017) Przemyslaw Polewski et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 3D local feature BKD to extract road information from mobile laser scanning point clouds
- (2017) Bisheng Yang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Contextual segment-based classification of airborne laser scanner data
- (2017) George Vosselman et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Weight prediction of broiler chickens using 3D computer vision
- (2016) Anders Krogh Mortensen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic extraction of building boundaries using aerial LiDAR data
- (2016) Ruisheng Wang et al. Journal of Applied Remote Sensing
- Comparison between manual and stereovision body traits measurements of Lipizzan horses
- (2015) Federico Pallottino et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system
- (2015) Yukako Kuzuhara et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- An approach based on digital image analysis to estimate the live weights of pigs in farm environments
- (2015) Apirachai Wongsriworaphon et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic Geometry Generation from Point Clouds for BIM
- (2015) Charles Thomson et al. Remote Sensing
- A low-cost stereovision system to estimate size and weight of live sheep
- (2014) Paolo Menesatti et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Comparison of a three-dimensional and two-dimensional camera system for automated measurement of back posture in dairy cows
- (2013) S. Viazzi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Range camera self-calibration with scattering compensation
- (2012) Derek D. Lichti et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimation of mature live weight using some body measurements in Karya sheep
- (2012) Onur Yilmaz et al. TROPICAL ANIMAL HEALTH AND PRODUCTION
- Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis
- (2011) Sakir Tasdemir et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Objective estimation of body condition score by modeling cow body shape from digital images
- (2011) G. Azzaro et al. JOURNAL OF DAIRY SCIENCE
- On the growth and form of the gut
- (2011) Thierry Savin et al. NATURE
- ROSy+: 3D Object Pose Normalization Based on PCA and Reflective Object Symmetry with Application in 3D Object Retrieval
- (2010) Konstantinos Sfikas et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Close range photogrammetry for industrial applications
- (2010) Thomas Luhmann ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Evolution and development of shape: integrating quantitative approaches
- (2010) Christian Peter Klingenberg NATURE REVIEWS GENETICS
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