scholarly journals Reconstruction of Isolated Moving Objects by Motion-Induced Phase Shift Based on PSP

2021 ◽  
Vol 12 (1) ◽  
pp. 252
Author(s):  
Ke Wu ◽  
Min Li ◽  
Lei Lu ◽  
Jiangtao Xi

The reconstruction of moving objects based on phase shifting profilometry has attracted intensive interests. Most of the methods introduce the phase shift by projecting multiple fringe patterns, which is undesirable in moving object reconstruction as the errors caused by the motion will be intensified when the number of the fringe pattern is increased. This paper proposes the reconstruction of the isolated moving object by projecting two fringe patterns with different frequencies. The phase shift required by the phase shifting profilometry is generated by the object motion, and the model describing the motion-induced phase shift is presented. Then, the phase information in different frequencies is retrieved by analyzing the influence introduced by movement. Finally, the mismatch on the phase information between the two frequencies is compensated and the isolated moving object is reconstructed. Experiments are presented to verify the effectiveness of the proposed method.

2013 ◽  
Vol 774-776 ◽  
pp. 1582-1585 ◽  
Author(s):  
Le Wang ◽  
Lei Song ◽  
Li Jun Zhong ◽  
Peng Xin ◽  
Shuai Li ◽  
...  

According to the characteristics of the fringe patterns noise, came up with a small area spin filtering noise cancellation algorithm based on parallel marker technology. It means that preprocess the fringe pattern before spin filtering, then did a median filter and calculated the stripe direction, finally used the extract the fringe direction to spin filtering of the original image. The algorithm can marked several targets in scanning process at the same time. So it has a high efficiency. The algorithm can be used in the multi-frequency heterodyne phase shift technology .And we can use the technology to complete the measurement of complex surfaces. Experimental results show that the method has a distinct advantage in measurement accuracy, measurement speed, and noise immunity.


Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 34 ◽  
Author(s):  
Jisang Yoo ◽  
Gyu-cheol Lee

Moving object detection task can be solved by the background subtraction algorithm if the camera is fixed. However, because the background moves, detecting moving objects in a moving car is a difficult problem. There were attempts to detect moving objects using LiDAR or stereo cameras, but when the car moved, the detection rate decreased. We propose a moving object detection algorithm using an object motion reflection model of motion vectors. The proposed method first obtains the disparity map by searching the corresponding region between stereo images. Then, we estimate road by applying v-disparity method to the disparity map. The optical flow is used to acquire the motion vectors of symmetric pixels between adjacent frames where the road has been removed. We designed a probability model of how much the local motion is reflected in the motion vector to determine if the object is moving. We have experimented with the proposed method on two datasets, and confirmed that the proposed method detects moving objects with higher accuracy than other methods.


2020 ◽  
Vol 1 (1) ◽  
pp. 18-24
Author(s):  
A. Silva ◽  
J. L. Flores ◽  
A. Muñoz ◽  
G. García-Torales

Las técnicas basadas en proyección de luz estructurada son ampliamente estudiadas y utilizadas en el área de perfilometría tridimensional, esto debido a la capacidad para obtener información completa de la superficie de objetos. Algunas de estas técnicas se basan en la proyección de patrones de intensidad sinusoidal y el uso de algoritmos de corrimiento de fase. En el caso de la reconstrucción tridimensional de objetos dinámicos en movimiento, uno de los desafíos es reducir el número de pasos o imágenes a ser proyectadas. Sin embargo, la precisión de estos sistemas se reduce conforme decrece el número de patrones (a un mínimo de tres). El sistema de proyección presenta una respuesta no lineal, lo cual introduce armónicos en los patrones adquiridos y en la recuperación de fase. En los últimos años, la proyección desenfocada de patrones binarios para generar patrones de franjas cuasi sinusoidales ha emergido como una alternativa para evitar el problema de no linealidad del proyector y, por ende, reducir el error en la fase. En este trabajo se presenta una revisión de distintos métodos propuestos en la literatura para generar patrones binarios, los cuales sintetizan patrones cuasi sinusoidales cuando son proyectados fuera de foco. Adicionalmente, analizamos el error de fase en función a la cantidad de desenfoque y el tamaño del periodo fundamental de las franjas. The techniques of structured light projection are widely studied in the area of three-dimensional profilometry, due to its ability to obtain information from the surface of an object. In particular, those based on the projection of a sequence of sinusoidal intensity patterns and the use of phase shift algorithms. In the case of three-dimensional reconstruction of dynamic or moving objects, one of the trends is to reduce the number of steps or patterns to be projected. However, the accuracy of these systems is reduced as the number of steps decreases (to a minimum of 3 steps). This is because the projection systems present a non-linear response, which translates into the introduction of harmonics in the acquired sinusoidal patterns, and therefore, error in the recovered phase. In the last years, the defocused projection of binary patterns has emerged as an alternative to avoid the projector’s non-linearity and generates quasi-sinusoidal fringe patterns to reduce the phase error. In this work, we review different techniques that have been proposed in the literature to generate binary patterns, which synthesize quasi-sinusoidal patterns when projected out of focus. In addition, we analyze the error in the phase as a function of the defocusing amount and the fringe pitch.


Author(s):  
Minh

This paper presents an effective method for the detection of multiple moving objects from a video sequence captured by a moving surveillance camera. Moving object detection from a moving camera is difficult since camera motion and object motion are mixed. In the proposed method, we created a panoramic picture from a moving camera. After that, with each frame captured from this camera, we used the template matching method to found its place in the panoramic picture. Finally, using the image differencing method, we found out moving objects. Experimental results have shown that the proposed method had good performance with more than 80% of true detection rate on average.


2017 ◽  
Vol 118 (1) ◽  
pp. 496-506 ◽  
Author(s):  
Tobias Bockhorst ◽  
Uwe Homberg

Goal-directed behavior is often complicated by unpredictable events, such as the appearance of a predator during directed locomotion. This situation requires adaptive responses like evasive maneuvers followed by subsequent reorientation and course correction. Here we study the possible neural underpinnings of such a situation in an insect, the desert locust. As in other insects, its sense of spatial orientation strongly relies on the central complex, a group of midline brain neuropils. The central complex houses sky compass cells that signal the polarization plane of skylight and thus indicate the animal’s steering direction relative to the sun. Most of these cells additionally respond to small moving objects that drive fast sensory-motor circuits for escape. Here we investigate how the presentation of a moving object influences activity of the neurons during compass signaling. Cells responded in one of two ways: in some neurons, responses to the moving object were simply added to the compass response that had adapted during continuous stimulation by stationary polarized light. By contrast, other neurons disadapted, i.e., regained their full compass response to polarized light, when a moving object was presented. We propose that the latter case could help to prepare for reorientation of the animal after escape. A neuronal network based on central-complex architecture can explain both responses by slight changes in the dynamics and amplitudes of adaptation to polarized light in CL columnar input neurons of the system. NEW & NOTEWORTHY Neurons of the central complex in several insects signal compass directions through sensitivity to the sky polarization pattern. In locusts, these neurons also respond to moving objects. We show here that during polarized-light presentation, responses to moving objects override their compass signaling or restore adapted inhibitory as well as excitatory compass responses. A network model is presented to explain the variations of these responses that likely serve to redirect flight or walking following evasive maneuvers.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1664
Author(s):  
Wenxin Hu ◽  
Hong Miao ◽  
Keyu Yan ◽  
Yu Fu

In optical metrology, the output is usually in the form of a fringe pattern, from which a phase map can be generated and phase information can be converted into the desired parameters. This paper proposes an end-to-end method of fringe phase extraction based on the neural network. This method uses the U-net neural network to directly learn the correspondence between the gray level of a fringe pattern and the wrapped phase map, which is simpler than the exist deep learning methods. The results of simulation and experimental fringe patterns verify the accuracy and the robustness of this method. While it yields the same accuracy, the proposed method features easier operation and a simpler principle than the traditional phase-shifting method and has a faster speed than wavelet transform method.


2014 ◽  
Vol 3 (4) ◽  
Author(s):  
David-Ignacio Serrano-García ◽  
Amalia Martinez-García ◽  
Noel-Iván Toto-Arellano ◽  
Yukitoshi Otani

AbstractAn interferometer capable of retrieving the phase information in a single shot was implemented, the system was made by taking into account the double interferogram output obtained in a Mach Zehnder interferometer and then retrieving the phase information using a two-step algorithm already encountered in the literature. By controlling the polarization properties of the system, a new polarization phase shifting technique was implemented based upon the rotation of two quarter wave retarders placed in each of the arms of the interferometer. We present the analytical model taking into account the necessary conditions presented by the demodulation method. The configuration presented does not require micro-polarizer arrays or diffraction gratings presenting the advantage of avoiding the use of conventional polarizing filters to control the phase shift. Experimental results are presented.


2014 ◽  
Vol 3 (4) ◽  
Author(s):  
Yuankun Liu ◽  
Evelyn Olesch ◽  
Zheng Yang ◽  
Gerd Häusler

AbstractPhase measuring deflectometry (PMD) acquires the two components of the local surface gradient via a sequence of two orthogonal sinusoidal fringe patterns that have to be displayed and captured separately. We will demonstrate that the sequential process (different fringe directions, phase shifting) can be completely avoided by using a cross fringe pattern. With an optimized Fourier evaluation, high quality data of smooth optical surfaces can be acquired within one single shot. The cross fringe pattern allows for one more improvement of PMD: we will demonstrate a novel phase-shift technique, where a one-dimensional


2011 ◽  
Vol 403-408 ◽  
pp. 3195-3198 ◽  
Author(s):  
Yong Hong Wang ◽  
Hua Long Zhou ◽  
Nan Li ◽  
Lian Xiang Yang

The Electronic Speckle Pattern Interferometry (ESPI) is a widely used technique for measurement displacement and deformation. But the fringe phase pattern of ESPI always comes with large noise when using phase-shifting technique. In order to ensure the accuracy of the measurement, it is very important to eliminate the noise of the phase fringe pattern. This paper introduced a phase filtering method, comparing with traditional methods, which can be found is a simple and effective method, and the experimental results have shown that the method was feasible used for image processing of ESPI fringes.


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