[PDF] Top 20 3-D computer vision in experimental mechanics
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3-D computer vision in experimental mechanics
... used in experimental ...measure in plane displacements/strains on planar specimens and some of them can give both in plane and out of plane displacement/ strain fields on any kind of specimen ... Voir le document complet
11
Supporting Experimental Computer Science
... For example, as noted in Sections 3.1 and 6.1, FutureGrid used the TakTuk software developed by Grid’5000 in its orchestration framework; and Grid’5000 used the Nimbus Infrastructure, sp[r] ... Voir le document complet
27
Interactive computer vision through the Web
... introduces in more details the image annotation problem and challenges it brings for large, crowdsourced ...datasets. In Chapter 2, we focus on the interactive segmentation ...explored in the ... Voir le document complet
183
Graph-based variational optimization and applications in computer vision
... Many computer vision applications such as image filtering, segmentation and stereovision can be formulated as optimization ...blocky in areas where contour information is lacking. In Chapter 2 ... Voir le document complet
170
Deep learning of representations and its application to computer vision
... presented in chapter 9, can be seen as an attempt to increase the amount of feature detectors in the model without requiring a proportional increase in connections between feature ... Voir le document complet
165
Curvilinear structure modeling and its applications in computer vision
... sizes. In particular, the ground truth set of the wrinkle dataset is based on subjective ...segments. In other words, the measure can mislead the per- formance if the line detection results are slightly ... Voir le document complet
155
Modeling of Facial Wrinkles for Applications in Computer Vision
... scars. In their work, the de- tection of wrinkles/imperfections allowed those skin features to be processed dif- ferently than the surrounding skin without much user ...resulted in better visual results of ... Voir le document complet
34
Mineral grains recognition using computer vision and machine learning
... involved. In fact, the task is at the limit to be handled by current SEM ...grain in millions of grains can be considered ...till. In glaciated terrains such as the Canadian Shield, glaciers have ... Voir le document complet
10
Modeling non-standard retinal in/out function using computer vision variational methods
... images in this ...pure experimental choice, as detailed in ...Tuning, in a given 2D direction, the spatial frequency in order the response to correspond to 50% of the DC component, is a ... Voir le document complet
31
Can computer vision problems benefit from structured hierarchical classification?
... problems in several application domains, including text categorization [ 23 ], protein function prediction [ 7 ], and music genre classi- fication [ 14 ...way in which humans organize and recognize the ... Voir le document complet
14
Continuous in situ measurement of quenching distortions using computer vision
... The experimental results are compared with numerical simulations performed with the finite element ...used in the samples to amplify the shape changes during ... Voir le document complet
14
Comparison between Optical and Computer Vision Estimates of Visibility in Daytime Fog
... site in Trappes, France, with the help of the French Meteorology Institute (Météo-France), in order to develop a camera-based method to estimate MOR (Hautière et ...used in CCTV systems for traffic ... Voir le document complet
8
Computer vision based navigation for spacecraft proximity operations
... GPU. In a preliminary study, the stereo depth map algorithm has been implemented and benchmarked against a published CPU implementation ...image in 25 milliseconds on a NVIDIA GeForce 9800GT [90], whereas ... Voir le document complet
226
Building Models From Sensor Data: An Application Shared by the Computer Vision and the Computer Graphics Community
... 2.3 Registration Here the goal is to place all the sensor data into a common co-ordinate reference frame. This process is currently performed manually by choosing corre- sponding feature points [22], or by accurate ... Voir le document complet
12
Distributed FPGA-based smart camera architecture for computer vision applications
... Board Fig. 1: DreamCam system DreamCam platform is equipped by a 1.3 Mpixels CMOS image sensor from E2V, supporting sub-sampling/binning and multi regions of interest (ROIs). The processing core is a FPGA Cyclone-III ... Voir le document complet
3
Sparse models for Computer Vision
... responses in macaque primary visual cortex ...Gaussians in Fourier space, but their specificity is that log-Gabors have Gaussians envelopes in log-polar frequency ...Gaussians: In particular, ... Voir le document complet
31
Computer vision on tap
... 3. Limitations Incentivizing user participation is challenging. We found the job acceptance threshold on Amazon Mechanical Turk with regards to compensation to be exceptionally high com- pared to the results ... Voir le document complet
9
Uncertainty Modeling in Robotic Maintenance Using Computer Vision
... presented in figures ...implemented in MATLAB gives a good estimation of the camera pose considering the setup used since the average projection error is ...added in [42] is on the image points and ... Voir le document complet
97
Novel convolution kernels for computer vision and shape analysis based on electromagnetism
... shown in Table ...noise. In fact, regular convolution kernels are small, which makes them vulnerable to small variations in the shapes contours, but it is not the case for EM ...invariant in ... Voir le document complet
27
UAV-based Inspection of Airplane Exterior Screws with Computer Vision
... explained in Section ...done in order to correct a classi- fication, identify a missing screw or check if a screw is turned compared to the nominal ...illustrated in Section ... Voir le document complet
8
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