Deep Learning revolutionised AI and Computer Vision but, as I argue in this post, at the cost of sacrificing the need for creativity in finding solutions to problems.
Why Deep Learning Has Not Superseded Traditional Computer Vision
Deep learning has been revolutionary. But traditional computer vision not dead yet. It is still worth studying.
The Reasons Behind the Recent Growth of Computer Vision
In my previous post I looked at the unprecedented growth of computer vision in the industry. 10 years ago computer vision was nowhere to be seen outside of academia. But things have since changed significantly. A telling sign of this is the consistent tripling each year of venture capital funding in computer vision. And Intel’s […]
The Growth of Computer Vision in the Industry
I started out in computer vision in 2004. I was walking along the corridors of the computer science department at the University of Adelaide (in South Australia) looking at notices put up by lecturers advertising potential undergraduate thesis topics. There wasn’t much there for me until one particular topic caught my eye: developing a vision […]
Why Image Processing and Computer Vision is so Difficult
This is another post that has been inspired by a question posed in a forum: “What are the open research areas in image processing?”. My answer? Everything is still an open research area in image processing/computer vision! But why is this the case? You’d think that after decades of research we’d feel comfortable in saying […]
How Can I Start a Career in Computer Vision?
This post has been inspired by a question someone asked in a forum. This person was a new but competent programmer who was trying to move into Computer Vision (CV) in the industry. However, he rightly noticed that “most of the job requirements [in computer vision] are asking for a PhD”. Indeed, this is true. And […]