Well its a long list and I am not going to add a list of papers for applications of Computer Vision although I can give you a hint and you can search with the keywords. Applications of computer vision has an enormous effect on the research as well as real-world applications. For instance, medical imaging, the blood vessel segmentation from fundus images have been very successful and is also implemented in some mobile applications. For reference please check my paper "A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification", same goes with the angiogram images thought it is not implemented in real world but soon it will make its progression. For your reference please check my work "Supervised method for blood vessel segmentation from coronary angiogram images using 7-D feature vector". Medical images is not the only field which has made its progression. A lot has been worked on image analysis and recognition field such as object recognition and action recognition. ImageNet, ILSVRC object detection challenge, ResNet101, Inceptionv4, Inception-ResNetv2, Squeeze and Excitation Networks are some of the examples of state-of-the-art object recognition methods. They are used in many real-world systems to recognize objects. Similarly, YOLO, Fast R-CNN, Faster-RCNN, and Mask-RCNN are used for state-of-the-art object detection techniques. You can use these keywords to find out the exact publication. For action recognition studies, there are many state-of-the-art methods such as dynamic image networks, improved dense trajectories, I3D networks, temporal segment networks, and semantic image networks are some of the methods which propose state-of-the-art results on action recognition problem for UCF101 and HMDB51 datasets. The last one is my work and will be available in few days on arxiv. The classic example of real-world implication for computer vision is the self-driving cars, social robots, surveillance systems, and virtual reality. For one of the real-word progression you can find Ali Baba's City Brain which mainly focuses on applying the computer vision systems in real-world scenarios.

In addition to medical imaging, I would list the following: Autonomous self-driving cars by Google and Volvo. Face recognition that Facebook uses. Land/water/forest area anticipation from satellite images. Car plate detection. Digitization of text from images... and the list goes on and on.

hello;

I have taken a look at these references and I can say they will probably clarify the subject to you:

From Knowledge based Vision Systems to Cognitive Vision Systems ...

https://www.sciencedirect.com/science/article/.../S18770509183135... - Traduire cette pagede T de Souza Alves - ‎2018 - ‎Cité 1 foisComputer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, ...

Computer vision will change the way we see the world - Scyfer

scyfer.nl/2017/08/10/computer-vision-company/

Traduire cette page10 août 2017 - Right now, computer vision often has fun and playful applications. If you've everseen a video demo of augmented reality glasses, the focus is on wowing you with .... This version had no previous knowledge of guitars.

How Computer Vision Helps Get You Better Web Data | Diffblog

blog.diffbot.com/how-computer-vision-helps-get-you-better-web-...

Traduire cette page12 juin 2017 - What is computer vision and how can it help you get more accurate web ... Googleuses their knowledge graph to recognize search queries as ...

Table of applications shown in this reference can help to conclude an answer

Thomas Huang, Ziyou Xiong, and Z. Z. F. (2011). Handbook of Face Recognition. (S. Z. Li & A. K.Jain, Eds.). USA: Springer.