What assumptions can be made regarding the rotation tolerance of the matching algorithm that will be used to test the segmentation?
The analysis methodology is being designed so that whether or not output images are rotated will not affect evaluation. Participants may assume that the matchers are tolerant of rotations. Segmenters may produce output images that preserve the original orientation, or they may rotate the images to the upright position. Multiple matchers will be used for scoring. If the test image is identified with an unknown (“U”) hand identifier, should the finger_pos code be set to unknown (“0”) or is it expected that the application will attempt to “guess” as to the hand and therefore the finger position? A segmenter capable of detecting switched hands has obvious operational advantages. One measure of interest is how often a segmenter can correctly segment all fingers in a slap from an unknown hand and correctly identify their position. An application should attempt to identify the finger positions if it is accurate at this task.
