Some Computer Vision Applications
Python for Prototyping Computer Vision Applications
... Our tests were aiming to reproduce general high level pro- cesses applied during CV applications development, rather than low level function calls. The tests were chosen to repre- sent algorithms underlying many ...
7
Sparsity Analysis for Computer Vision Applications
... noise. It exhibits exceptionally performance in various graph-based applications. We then study the label-to-region problem by sparse modeling in the second part. The ability to annotate images with related text ...
138
Synthetic Movies for Computer Vision Applications
... Artificial vision research tries to match human visual competence by developing algorithms able to infer from bi-dimensional images, or image sequences, the contents of the corresponding 3D static or dynamic ...
7
Computer Vision Applications in the Navigation of Unmanned Underwater Vehicles
... as vision system’s performance improves with decreasing range making it a very good candidate for near intervention underwater ...and vision measurements but the author believes that vision is a ...
22
Cost-effective HPC clustering for computer vision applications
... Dublin, Ireland {julia.dietlmeier, sean.begley, paul.whelan}@eeng.dcu.ie Abstract We will present a cost-effective and flexible realization of High Performance Computing (HPC) clustering and its potential in solving ...
6
Using quantum computing to realize the Fourier Transform in computer vision applications
... Sometimes, when we acquire an image, we must perform image processing techniques to enhance the output image, which serves as input image to the next step. This next step can be a recognition process to emphasize or to ...
5
Reconfigurable FPGA Architecture for Computer Vision Applications in Smart Camera Networks
... a computer vision system is highly application ...many vision systems, functionality can be classified as follows: in the first step, called image acquisition, an image (or more than one) is captured ...
96
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications
... In Computer Vision, edge detection is one of the favored approaches for feature and object detection in images since it provides information about their objects’ ...broader applications such as image ...
28
Ellipse Fitting for Computer Vision. Implementation and Applications
... xi Preface Because circular objects are projected to ellipses in images, ellipse fitting is a first step for 3-D anal- ysis of circular objects in computer vision applications. For this reason, the ...
22
JavaVis: An Integrated Computer Vision Library for Teaching Computer Vision
... for computer vision teaching. Open Computer Vision Library (OpenCV) [4] is available for Windows, Linux, and ...ficient computer vision libraries, it does not incorporate a ...
10
AdaBoost in Computer Vision
... The development of efficient classifiers is to a great extent an experimental science. All new ideas have to be tested on representative testing sets and/or some of the parameters have to be tuned for specific ...
65
Applications of Computational Geometry and Computer Vision
... performed better than the best of any other method on the easiest dataset. This is not a surprising outcome. It was found that HOG filters with SVM, without the usual additional models, provide no benefit on their own ...
61
Applications of parametric maxflow in computer vision
... Image segmentation results in Fig. 5(b) also illustrate typical dominant solutions for a closely related multi- view reconstruction technique using volumetric ballooning. Surface functionals combining ...
8
Some machine vision applications in agriculture
... Projects not described here include a refractometer for measuring sugar cane juice, based on a line-scan camera.[12] The interfacing task would have been simplified if a cannibalised webcam had been used instead. There ...
6
Computer Vision Algorithms for Mobile Camera Applications
... more challenging than an actual free fall. Fig. 4.4: An Android ™ smart phone attached to the waist. For real-time computation on the phone, without loss of generality, we have used a simplified version, with EO and ES ...
165
Assisting the training of deep neural networks with applications to computer vision
... In both learning scenarios, it is important to have models that do well on unseen samples. Regularization is a technique that encourages the models to generalize beyond training sam- ples. Regularizers often impose ...
151
Applications of low-rank matrix recovery methods in computer vision
... in some sense are meant to capture all the essential invariant information in ...real applications is some- what ...eliminates some free parameters from the overall ...
191
Computer Vision
... stand-alone applications which solve a specific measurement or detection problem, while others constitute a sub-system of a larger design which, for example, also contains sub-systems for control of mechanical ...
8
Handbook of Computer Vision and Applications Volume 3 Systems and Applications Bernd Jahne pdf
... However, the use of an FPGA processor, especially its reprogamma- bility, offers some additional features. One is the possibility to extend the described standard hardware configuration with user specific ap- ...
955
Computer Vision and Applications A Guide for Students and Practitioners Bernd Jahne pdf
... Introduction Computer vision and image processing always start with image acqui- sition, mostly done by illuminating the scene with natural or artificial light in the visible range and capturing images with ...
702