Computer Vision Resources

Android Application Programming with OpenCV
Posted by orthographd on December 4, 2016 at 11:37 am ]
Learning OpenCV Computer Vision in C++ with the OpenCV Library Early 2016 Release - Adrian Kaehler
Posted by orthographd on October 31, 2015 at 5:28 pm ]
Springer Book Series on "Signal Processing for Security Technologies"
Posted by ecelebi on October 27, 2015 at 7:48 pm Dear Colleagues, Springer Publishers and I are considering book proposal submissions for monographs or contributed volumes for the recently launched Springer Book Series entitled "Signal Processing [...]
Biologically-Inspired Computer Vision. Fundamentals and Applications
Posted by gcristobal on October 21, 2015 at 7:52 am This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. Along the different chapters, this book covers a wide range of topics from fundamental to more [...]
Multimodal Real World Datasets on Activities of Daily Living
Posted by abria on October 14, 2015 at 3:03 am Dem@Care is providing datasets, which are collected during lab and home experiments. The data collection took place in the Greek Alzheimer’s Association for Dementia and Related Disorders in Thessaloniki, [...]
Stereo Ego-motion dataset
Posted by nsn86 on September 28, 2015 at 7:50 am This stereo dataset contains 494 full-HD videos across 4 categories - car, cat, chair, dog. These were recorded by walking around the objects under no special camera or environmental settings. There [...]
Dermoscopy Image Analysis
Posted by ecelebi on September 24, 2015 at 7:01 am 01. Toward a Robust Analysis of Dermoscopy Images Acquired under Different Conditions (Barata, Celebi, and Marques)02. A Bioinspired Color Representation for Dermoscopy Image Analysis (Madooei and Drew)03. [...]
EENG 512 - Computer Vision - Colorado School of Mines
Posted by orthographd on July 15, 2015 at 5:10 am Computer vision is the process of using computers to acquire images, transform images, and extract symbolic descriptions from images.  The automatic classification of blood cells in medical images [...]
Posted by orthographd on July 15, 2015 at 5:07 am Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors. We will focus on images acquired using digital cameras. We will introduce [...]
Visual object tracking challenges
Posted by matej-kristanfri-uni-lj-si on July 1, 2015 at 1:37 am The VOT challenges provide the visual tracking community with a precisely defined and repeatable way of comparing short-term trackers as well as a common platform for discussing the evaluation and [...]
Posted by Computer Vision Central on May 28, 2015 at 1:01 am Lectures, Keynotes, Panel Discussions]
CS763 Computer Vision IIT-B Spring 2015
Posted by orthographd on May 20, 2015 at 2:12 pm Topics to be covered (tentative list)Camera geometry, camera calibration, vanishing pointsComputational tools for creating Image Panoramas: homographies, RANSAC for point-matching, SIFT (scale invariant [...]
Posted by xavisuau on May 4, 2015 at 2:00 pm GESTOOS SDK is a cross-platform SDK for gesture recognition and robust hand tracking.Detect static gestures easily and include hand tracking without models nor initialization in your projects.Available [...]
Segmenting Circle around Interest Point
Posted by wladik on May 4, 2015 at 12:25 pm AnalyticBMPApproximation is an open source demo program for segmentation raster images around interest points. It is developed in Microsoft Visual Sudio Comunity 2013, using C++11, WinAPI and DirectX. The [...]
Learning Image Processing with OpenCV
Posted by visilab on March 31, 2015 at 4:29 pm Exploit the amazing features of OpenCV to create powerful image processing applications through easy-to-follow examples]
OpenCV Essentials
Posted by visilab on March 31, 2015 at 4:26 pm OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions used in both academia and industry. It mainly focuses on real-time image processing. [...]
CVC-08 On-board Sequence. Pedestrian Dataset
Posted by dvazquez on February 13, 2015 at 4:55 am ]
CVC-07 DPM Virtual-World Pedestrian Dataset
Posted by dvazquez on February 13, 2015 at 4:54 am This dataset contains 2534 pedestrian images and 2000 background images. The pedestrian images have frontal view and left view, which are annotated as 'M' and 'L'. You may flip the pedestrians to get right [...]
CVC-06 Partially Occluded Virtual-World Pedestrian Dataset
Posted by dvazquez on February 13, 2015 at 4:53 am This is a partially occluded pedestrian dataset extracted from our virtual world. The dataset consists of two sets of 2400 and 2414 croped pedestrians (with their corresponding horizontal mirrors).Here [...]
CVC-05 Partially Occluded Pedestrian Dataset
Posted by dvazquez on February 13, 2015 at 4:52 am This is a partially occluded pedestrian dataset. The dataset consists of 593 positive frames with annotated pedestrians (with their corresponding horizontal mirrors).Here are some examples of the dataset:References [...]
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