Making Robots Learn to See

Heidemann G, Ritter H (2003)
In: Adaptivity and Learning: An Interdisciplinary Debate. Kühn R (Ed); Berlin: Springer: 285-309.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Heidemann, Gunther; Ritter, HelgeUniBi
Herausgeber*in
Kühn, R.
Abstract / Bemerkung
Machine vision will be a key technique in future robotics. Though we are still far from the construction of robots with human capabilities, machine vision already plays an increasingly important role in many robot applications. In this contribution, we will outline a man machine interaction scenario as an example what can be achieved by now using adaptive methods in machine vision. We will discuss the problems of current vision systems and outline possible future developments
Erscheinungsjahr
2003
Buchtitel
Adaptivity and Learning: An Interdisciplinary Debate
Seite(n)
285-309
ISBN
978-3-642-05510-2
Page URI
https://pub.uni-bielefeld.de/record/2714560

Zitieren

Heidemann G, Ritter H. Making Robots Learn to See. In: Kühn R, ed. Adaptivity and Learning: An Interdisciplinary Debate. Berlin: Springer; 2003: 285-309.
Heidemann, G., & Ritter, H. (2003). Making Robots Learn to See. In R. Kühn (Ed.), Adaptivity and Learning: An Interdisciplinary Debate (pp. 285-309). Berlin: Springer. doi:10.1007/978-3-662-05594-6_21
Heidemann, G., and Ritter, H. (2003). “Making Robots Learn to See” in Adaptivity and Learning: An Interdisciplinary Debate, Kühn, R. ed. (Berlin: Springer), 285-309.
Heidemann, G., & Ritter, H., 2003. Making Robots Learn to See. In R. Kühn, ed. Adaptivity and Learning: An Interdisciplinary Debate. Berlin: Springer, pp. 285-309.
G. Heidemann and H. Ritter, “Making Robots Learn to See”, Adaptivity and Learning: An Interdisciplinary Debate, R. Kühn, ed., Berlin: Springer, 2003, pp.285-309.
Heidemann, G., Ritter, H.: Making Robots Learn to See. In: Kühn, R. (ed.) Adaptivity and Learning: An Interdisciplinary Debate. p. 285-309. Springer, Berlin (2003).
Heidemann, Gunther, and Ritter, Helge. “Making Robots Learn to See”. Adaptivity and Learning: An Interdisciplinary Debate. Ed. R. Kühn. Berlin: Springer, 2003. 285-309.

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