The computer vision literature is vast and diverse. Furthermore, computer vision research depends on techniques from a wide range of other fields. Therefore, it is difficult for newcomers (e.g. graduate students) to assimilate enough background material to do their research, read and review interesting new papers, and so forth. This is difficult even for faculty members: I frequently hear complaints that recent papers duplicate old ideas.
When finished, this handbook will outline important ideas and techniques used in computer vision. It will also provide references to books and papers containing further information. These references are not intended to be an exhaustive bibliography but, rather, a small set of particularly good references. We prefer references that provide succinct coverage of material required for research in computer vision, minimizing coverage of material that is unlikely to be used in our area.
This handbook is primarily intended for a researcher trying to decipher papers outside his own area of expertese, or a graduate student starting research. Therefore:
Unless explicitly indicated, we believe all the books to be in print.
We have only just started to build this handbook. We have a reasonable number of references for allied fields, particularly mathematics, but only fragments of the eventual pages on computer vision itself. Please be patient.