object-recognition

OpenCV for ANDROID image compare

人盡茶涼 提交于 2019-11-28 19:54:18
I want to develop app which will recognize object(like monument or something) present in front of camera using OpenCv and then it will show information about it. So the question is how to recognize object (like monument or something) shape or compare to images with OpenCV ? And what is the best method for doing this? It would be good if there was some kind of samples or tutorials for object detection and comparison. Thank you. Rui Marques The best method for what you ask is using local features detectors like OpenCV's SIFT, SURF and ORB, for example. You need at least one picture from the

Extracting HoG Features using OpenCV

大憨熊 提交于 2019-11-28 15:12:47
I am trying to extract features using OpenCV's HoG API, however I can't seem to find the API that allow me to do that. What I am trying to do is to extract features using HoG from all my dataset (a set number of positive and negative images), then train my own SVM. I peeked into HoG.cpp under OpenCV, and it didn't help. All the codes are buried within complexities and the need to cater for different hardwares (e.g. Intel's IPP) My question is: Is there any API from OpenCV that I can use to extract all those features / descriptors to be fed into a SVM ? If there's how can I use it to train my

OpenCV for ANDROID image compare

冷暖自知 提交于 2019-11-27 12:33:49
问题 I want to develop app which will recognize object(like monument or something) present in front of camera using OpenCv and then it will show information about it. So the question is how to recognize object (like monument or something) shape or compare to images with OpenCV ? And what is the best method for doing this? It would be good if there was some kind of samples or tutorials for object detection and comparison. Thank you. 回答1: The best method for what you ask is using local features

Where do I start learning about image processing and object recognition? [closed]

╄→гoц情女王★ 提交于 2019-11-27 10:57:12
I'm interested in writing some basic computerized object recognition application, so I figure I need some theoretical background in image processing algorithms, along with some AI for decision making capabilities. I'm a computer science graduate, and one day I plan to get my Master's degree, hopefully in one of these fields. In the mean time, I'd like to get a head start and do some self-learning. So my question is, where do I start? I'd appreciate an arrow in the right direction, a few links if possible. Ivan You may want to check out the answers to these similar question: Image processing

SVM classifier based on HOG features for “object detection” in OpenCV

拥有回忆 提交于 2019-11-27 10:26:30
I have a project, which I want to detect objects in the images; my aim is to use HOG features. By using OpenCV SVM implementation , I could find the code for detecting people, and I read some papers about tuning the parameters in order to detect object instead of people. Unfortunately, I couldn't do that for a few reasons; first of all, I am probably tuning the parameters incorrectly, second of all, I am not a good programmer in C++ but I have to do it with C++/OpenCV... here you can find the code for detecting HOG features for people by using C++/OpenCV. Let's say that I want to detect the

Extracting HoG Features using OpenCV

怎甘沉沦 提交于 2019-11-27 09:04:51
问题 I am trying to extract features using OpenCV's HoG API, however I can't seem to find the API that allow me to do that. What I am trying to do is to extract features using HoG from all my dataset (a set number of positive and negative images), then train my own SVM. I peeked into HoG.cpp under OpenCV, and it didn't help. All the codes are buried within complexities and the need to cater for different hardwares (e.g. Intel's IPP) My question is: Is there any API from OpenCV that I can use to

Where do I start learning about image processing and object recognition? [closed]

被刻印的时光 ゝ 提交于 2019-11-26 15:24:13
问题 I'm interested in writing some basic computerized object recognition application, so I figure I need some theoretical background in image processing algorithms, along with some AI for decision making capabilities. I'm a computer science graduate, and one day I plan to get my Master's degree, hopefully in one of these fields. In the mean time, I'd like to get a head start and do some self-learning. So my question is, where do I start? I'd appreciate an arrow in the right direction, a few links

SVM classifier based on HOG features for “object detection” in OpenCV

南楼画角 提交于 2019-11-26 15:10:10
问题 I have a project, which I want to detect objects in the images; my aim is to use HOG features. By using OpenCV SVM implementation , I could find the code for detecting people, and I read some papers about tuning the parameters in order to detect object instead of people. Unfortunately, I couldn't do that for a few reasons; first of all, I am probably tuning the parameters incorrectly, second of all, I am not a good programmer in C++ but I have to do it with C++/OpenCV... here you can find the