Edited by author 01-31-2006 03:39 PM
Vidal and Ulman use just low-res pictures of cars for their '03 paper, and I wonder if they're getting such good results just because they've created a spanning set of the side view of cars. They started with a set of 59 thousand fragments, and I wonder if the results were that much better than an exhaustive search would be. On the other hand, maybe using a heuristic on a huge amount of data is what people do too, and it might be a very robust classifier. But still, I'd like to see them try to correctly classify several different types of objects, rather than deciding if a query is inside or outside one class.