ArticleSensors (Basel, Switzerland)2018
Non-Contact Body Measurement for Qinchuan Cattle with LiDAR Sensor.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Recent Advances in Vision-Based Beef Cattle Body Measurement Technologies.Animals : an open access journal from MDPI · 2026Review
- Machine learning assisted noncontact neonatal anthropometry using FMCW radar.Scientific reports · 2025Article
- Automated Measurement of Cattle Dimensions Using Improved Keypoint Detection Combined with Unilateral Depth Imaging.Animals : an open access journal from MDPI · 2024Article
- Feasibility of Using Laser Imaging Detection and Ranging Technology for Contactless 3D Body Scanning and Anthropometric Assessment of Athletes.Sports (Basel, Switzerland) · 2024Article
- 3D imaging and body measurement of riding horses using four scanners simultaneously.Journal of equine science · 2024Article
- Towards the Estimation of Body Weight in Sheep Using Metaheuristic Algorithms from Biometric Parameters in Microsystems.Micromachines · 2022Article
- Preclinical trial of noncontact anthropometric measurement using IR-UWB radar.Scientific reports · 2022Article
- Parallel lasers and digital photography to estimate limb size of chimpanzees (Pan troglodytes) at Ngogo, Kibale National Park, Uganda.Primates; journal of primatology · 2022Article
- 3DPhenoFish: Application for two- and three-dimensional fish morphological phenotype extraction from point cloud analysis.Zoological research · 2021Article
- Body measurement of riding horses with a versatile tablet-type 3D scanning device.Journal of equine science · 2021Article
- Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors.Sensors (Basel, Switzerland) · 2020Article
- Body Dimension Measurements of Qinchuan Cattle with Transfer Learning from LiDAR Sensing.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The body dimension measurement of large animals plays a significant role in quality improvement and genetic breeding, and the non-contact measurements by computer vision-based remote sensing could represent great progress in the case of dangerous stress responses and time-costing manual measurements. This paper presents a novel approach for three-dimensional digital modeling of live adult Qinchuan cattle for body size measurement. On the basis of capturing the original point data series of live cattle by a Light Detection and Ranging (LiDAR) sensor, the conditional, statistical outliers and voxel grid filtering methods are fused to cancel the background and outliers. After the segmentation of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.