coursera computer vision

Morphological filtering of "computer vision"Label (Space delimited): "Image processing" "Signal processing"Copyright NOTICE: This article for Bo Master original article, reprint please indicate source http://blog.csdn.net/lg1259156776/.Note: This paper mainly wants to find out the application of morphological filtering in image processing and signal processing, and it is very intuitive to obtain the effect

This is a Bayesian model of computer Vision small project. I hope you will know how the general Computer Vision Project is operated through this simple project.I'm going to start with the topic here. I want to be interested in the children's shoes spend a week thinking and implementation with Python. A week later I'm g

Working with images using OpenCV3The following is all about image processing, where you need to modify the image, such as using an artistic filter, some parts of the extrapolation (extrapolate), splitting, pasting, or other required operations.Conversion of different color spacesThere are hundreds of ways to convert between different color spaces in OpenCV. Currently, there are three commonly used color spaces in computer

I. ImageNet Large scale Visual Recognition competition (ILSVRC) Imagenet data set is one of the most widely used data sets in the field of deep learning image, and the research work on image classification, localization and detection is mainly based on this data set. The imagenet dataset has more than 14 million images covering more than 20,000 categories, of which more than millions of images have explicit category labels and the location of objects in the image. Imagenet Data Set documentatio

Pattern recognition, computer vision, Journal (1) Pattern Recognition letters, from contribution to publication, one year and a half (2) pattern recognition is poor, long time (3) ieice transactions on information and systems. One of the authors must be a member. High fees and fast review. Impact factor 0.4 (4) International Journal of pattern recognition and artificial intelligence. The review cycle is ge

The recent launch of the anti-beauty app Primo in Japan may make you feel overwhelmed. In fact, this anti-human application, you can also write, but must understand some of the technology, is computer vision. At present, the computer Vision Library includes FASTCV, OpenCV, JAVACV and so on.Relatively speaking, OpenCV i

Recently asked to pay attention to the visual attention of the "hot Research direction", "the latest method" and so on. Boss suggests Cnki, EI, or sci journals. I'm a little puzzled, why not go to the papers at the top conference?In the field of machine learning, computer vision and artificial intelligence, top-level conferences are the way to feel. Some people will question that these meetings are only EI,

1. opencv (a library required for computer vision, which I personally think is very powerful) Http://opencv.willowgarage.com/wiki/ 2. Open Source vision recommended on the cvpaper HomepageAlgorithmLibrary, the most comprehensive, and very new. We strongly recommend that you check it out. Http://www.cvpapers.com/rr.html 3. The image processing and

the part that determines the characteristic.In fact, when a person identifies something or a pattern, it is also by observing what kind of characteristic the object has, and then matching it with his experience and memory. For example, to go to the supermarket to see a fruit, suppose we observe that the fruit is green (color characteristic), spherical (Shape feature), with black texture (pattern feature). So we can tell by experience that this is a watermelon. Of course, people will also use a

graph cuts with applications in computer vision [Paper] [Code] Isoperimetric graph partitioning for image segmentation [Paper] [Code] Random Walks for image segmentation [Paper] [Code] Blossom V: a new implementation of a minimum cost perfect matching algorithm [Code] An experimental comparison of Min-CUT/max-flow algorithms for energy minimization in computer