Fringe projection deep learning
WebMar 15, 2024 · 1. Introduction. Fringe projection profilometry (FPP) becomes increasingly important in non-contact, high-resolution and high-speed 3-D measurement [1], [2], [3]. In FPP, the object’s 3-D shapes are reconstructed from a desired phase when combined with system calibrated parameters [4]. The desired phase is calculated by either using … WebMar 10, 2024 · Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D shapes of isolated objects by a single fringe image. In this paper, we demonstrate that the deep neural networks can be trained to directly recover the …
Fringe projection deep learning
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WebComposite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement. Yixuan Li, Jiaming Qian, Shijie Feng, Qian Chen, and Chao Zuo Opt. Express 30(3) 3424-3442 (2024) Deep learning-based fringe modulation-enhancing method for accurate fringe projection profilometry. WebApr 7, 2024 · Fringe projection profilometry (FPP) has been broadly applied in three-dimensional (3D) measurements, but the existing multi-shot methods, which mostly utilize phase-shifting techniques, are heavily affected by the disturbance of vibration and cannot be used in dynamic scenes. In this work, a single-shot 3D measurement method using a …
WebNov 23, 2024 · High-accuracy and high-speed three-dimensional (3D) fringe projection profilometry (FPP) has been widely applied in many fields. Recently, researchers discovered that deep learning can significantly improve fringe analysis. However, deep learning requires numerous objects to be scanned for training data. In this paper, we propose to … WebSep 10, 2024 · Download Citation Unsupervised deep learning for 3D reconstruction with dual-frequency fringe projection profilometry The fringe projection profilometry (FPP) …
Web• The first end-to-end learning-based approach to reconstruct depth from Circular fringes. • A single-shot solution for reconstruction of discontinuous object profiles. • Model … WebJul 1, 2024 · Phase unwrapping is a very important step in fringe projection 3D imaging. In this paper, we propose a new neural network for accurate phase unwrapping to address the special needs in fringe projection 3D imaging. ... Recently deep learning methods have been proposed as an alternative approach for phase unwrapping to improve the speed …
WebFeb 1, 2024 · To train the models with reliable datasets in the learning process, a multi-frequency fringe projection profilometry technique is adopted to prepare high-accuracy …
WebRecently, deep learning has attracted more and more attention in phase unwrapping of fringe projection three-dimensional (3D) measurement, with the aim to improve the performance leveraging the powerful Convolutional Neural Network (CNN) models. In this paper, for the first time (to the best of our knowledge), we introduce the Transformer into ... cross nabojeWebRecovering the high-resolution three-dimensional (3D) surface of an object from a single frame image has been the ultimate goal long pursued in fringe projection profilometry … crossmotor zijspanWebJan 10, 2024 · composite fringe projection deep learning profilometry can directly perform the single-shot. robust and unambiguous phase retrieval process and high … اعتراض به قبض آب خوزستانWebJan 6, 2024 · Deep learning-based fringe projection profilometry (FPP) shows potential for challenging three-dimensional (3D) reconstruction of objects with dynamic motion, … اعتراض به قبض جریمه دو برگیWebOct 22, 2024 · Recently, deep learning has been introduced to the field of Fringe projection profilometry (FPP), revealing promising results in fringe analysis, phase unwrapping, depth constraint and system calibration. However, for absolute shape measurement of general objects, the inherent depth ambiguity problem of a single fringe … اعتراض به قبض آب اصفهانWebJan 31, 2024 · Abstract. Single-shot fringe projection profilometry (FPP) is essential for retrieving the absolute depth information of the objects in high-speed dynamic scenes. High-precision 3D reconstruction using only one single pattern has become the ultimate goal in FPP. The frequency-multiplexing (FM) method is a promising strategy for realizing single ... اعتراض به قبض همراه اولWebCircular fringe projection profilometry (CFPP), as a branch of carrier fringe projection profilometry, has attracted research interest in recent years. Circular fringe Fourier transform profilometry (CFFTP) has been used to measure out-of-plane objects quickly because the absolute phase can be obtained by employing fewer fringes. However, the … اعتراض به قبض برق خوزستان