what is a downside of the GIST descriptor? When does it perform poorly?
motoole2
Like all the other descriptors, there are going to be pros and cons. GIST is relatively fast to compute. But the averaged filter responses may not be discriminative enough to capture texture and details required for precise object recognition
One example application is the use of gist descriptors for searching through web images; there's a full paper about it here. For detecting nearly duplicate images, GIST is great. For object and location recognition however, GIST falls short of other descriptors.
At the end, it's one of many options that you would likely evaluate empirically, to choose which descriptor makes sense for your application.
what is a downside of the GIST descriptor? When does it perform poorly?
Like all the other descriptors, there are going to be pros and cons. GIST is relatively fast to compute. But the averaged filter responses may not be discriminative enough to capture texture and details required for precise object recognition
One example application is the use of gist descriptors for searching through web images; there's a full paper about it here. For detecting nearly duplicate images, GIST is great. For object and location recognition however, GIST falls short of other descriptors.
At the end, it's one of many options that you would likely evaluate empirically, to choose which descriptor makes sense for your application.