@phdthesis{Lange2000, author = {Lange, Robert}, title = {3D time of flight distance measurement with custom solid state image sensors in CMOS, CCD technology}, organization = {Universit{\"a}t Siegen}, url = {https://nbn-resolving.org/urn:nbn:de:hbz:467-1783}, year = {2000}, abstract = {Since we are living in a three-dimensional world, an adequate description of our environment for many applications includes the relative position and motion of the different objects in a scene. Nature has satisfied this need for spatial perception by providing most animals with at least two eyes. This stereo vision ability is the basis that allows the brain to calculate qualitative depth information of the observed scene. Another important parameter in the complex human depth perception is our experience and memory. Although it is far more difficult, a human being is even able to recognize depth information without stereo vision. For example, we can qualitatively deduce the 3D scene from most photos, assuming that the photos contain known objects [COR]. The acquisition, storage, processing and comparison of such a huge amount of information requires enormous computational power - with which nature fortunately provides us. Therefore, for a technical implementation, one should resort to other simpler measurement principles. Additionally, the qualitative distance estimates of such knowledge-based passive vision systems can be replaced by accurate range measurements.}, subject = {Dreidimensionales maschinelles Sehen}, language = {en} }