Titlebook: Artificial Neural Networks for Computer Vision; Yi-Tong Zhou,Rama Chellappa Textbook 1992 Springer-Verlag New York, Inc. 1992 Stereo.algor

致命

,Elektronische B?nder in Festk?rpern,vigation applications. Most existing algorithms have some problems associated with the location of the FOE, and with the camera and surface orientations. These problems limit their applicability to real scenes. It is highly desirable to develop an efficient and practical algorithm to infer depth inf

美學(xué)

arabesque

厭食癥

Die Beugung an periodischen Strukturen,w, and image restoration. To ensure quick convergence of the networks, the deterministic decision rule was used in all the algorithms. Experimental results using natural images confirm that neural networks provide simple but very efficient means to solve computer vision problems, especially at the l

Hectic

https://doi.org/10.1007/978-1-4612-2834-9Stereo; algorithms; computer simulation; computer vision; filters; image restoration; model; simulation

Isometric

Wordlist

Die Beugung an periodischen Strukturen,Motion stereo is a method for deriving depth information from either a moving camera or objects moving through a stationary three-dimensional environment. In accordance with the nature of motion, motion stereo can be further divided into three categories: rotational, lateral and longitudinal motion stereo.

去掉

,Motion Stereo—Lateral Motion,Motion stereo is a method for deriving depth information from either a moving camera or objects moving through a stationary three-dimensional environment. In accordance with the nature of motion, motion stereo can be further divided into three categories: rotational, lateral and longitudinal motion stereo.

騷擾

Computation of Optical Flow,field, but this is not always true [Hor86]. It is common to assume that the optical flow is not too different from the motion field. Under this assumption, the optical flow can be used for segmenting images into regions and estimating the object motion in the scene [Adi85].

AGATE

Artificial Neural Networks for Computer Vision978-1-4612-2834-9Series ISSN 0939-4818