1. 3D Images Search Benchmark By:Michael Gustus Anat Paskin Supervisor:George Leifman

2. Introduction Given: –Database partitioned into classes of objects (such as plains, cars, trees etc.). –Algorithms for assessing similarity between any two objects. The system should evaluate how suitable the algorithm is to be used for the task of classifying objects according to those classes.

3. Goals Our main goal is to find an “objective” method of evaluation that will rank search algorithms by their “search ability”.Our main goal is to find an “objective” method of evaluation that will rank search algorithms by their “search ability”. The secondary goal is to find a test/tests that "successfully" capture the term of "search ability".The secondary goal is to find a test/tests that "successfully" capture the term of "search ability".

4. Difficulties PLANTS CLASS example

5. Our Method of testing All tests we've designed rely only on this ordering, and on the class each j actually belongs to, and don't utilize the distances themselves. 1 0 Distance to image i Other images