Results 31 to 40 of about 244,243 (267)
GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit
3D reconstruction of fruit is important as a key component of fruit grading and an important part of many size estimation pipelines. Like many computer vision challenges, the 3D reconstruction task suffers from a lack of readily available training data ...
Zane K. J. Hartley +3 more
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Intelligent three-dimensional (3D) reconstruction technology plays an important role in the diagnosis and treatment of diseases. It has been widely used in assisted liver surgery.
Shaodong Cao +3 more
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Due to the limited information of two-dimensional (2D) radar images, the study of three-dimensional (3D) radar image reconstruction has received significant attention.
Dan Xu +5 more
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The PlanetScope satellite constellation has over 130 Dove satellites running 24/7, which collect weekly and even daily images globally at 3–5 m resolution.
Debao Huang, Yang Tang, Rongjun Qin
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Iterative Online 3D Reconstruction from RGB Images
3D reconstruction is the computer vision task of reconstructing the 3D shape of an object from multiple 2D images. Most existing algorithms for this task are designed for offline settings, producing a single reconstruction from a batch of images taken ...
Thorsten Cardoen +2 more
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Reconstructing 3D compact sets
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cazals, Frédéric, Cohen-Steiner, David
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Overview of image-based 3D reconstruction technology
Three-dimensional (3D) reconstruction technology is the key technology to establish and express the objective world by using computer, and it is widely used in real 3D, automatic driving, aerospace, navigation and industrial robot applications. According
Niu Yuandong +4 more
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Database-Assisted 3D Reconstruction and Printing of a Mechanical Key From a Single Photograph
Reverse engineering is a powerful tool for duplicating real objects from data acquired by tracking systems, industrial X-ray computed tomography (CT), laser scanners, and image captures.
Yicang Huang +4 more
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Deep-learning for 3D reconstruction [PDF]
Depth perception is paramount for many computer vision applications such as autonomous driving and augmented reality. Despite active sensors (e.g., LiDAR, Time-of-Flight, struc- tured light) are quite diffused, they have severe shortcomings that could be potentially addressed by image-based sensors. Concerning this latter category, deep learning has
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An End-to-End Approach to Reconstructing 3D Model From Image Set
Large-scale 3D reconstruction from imagery has received much attention from the computer vision community. However, recovering 3D structures from 2D images is a notoriously complex process that requires expertise with often limited results.
Youcheng Cai +3 more
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