Knowledge-Based Vision, Surveys, Overviews

Chapter Contents (Back)
Survey, Knowledge-Based Vision. Knowledge. Knowledge-Based Vision.

Selfridge, O.G., and Neisser, U.,
Pattern Recognition by Machine,
SciAmer(203), August 1960, pp. 60-68. BibRef 6008
And: CandT(237-250), 1963. Perceptual Grouping. Discussion of various issues -- overlap of feature values, failures in template matching, etc. Then discusses character recognition based on features -- vertical lines, crossbars, etc. BibRef

Akin, O.[Omer], Reddy, R.[Raj],
Knowledge Acquisition for Image Understanding Research,
CGIP(6), No. 4, August 1977, pp. 307-334.
Elsevier DOI Human and computer studies. BibRef 7708

Binford, T.O.,
Survey of Model-Based Image Analysis Systems,
IJRR(1), No. 1, Spring 1982, pp. 18-64. Survey, Model Based Vision. Model Based Vision. Survey, Model Based Vision. BibRef 8200

Kanade, T.,
Representation and Control in Vision,
PDA83(171-197). BibRef 8300

Kanade, T.,
Model Representations and Control Structures in Image Understanding,
IJCAI77(1074-1082). BibRef 7700

Shapiro, L.G.,
Computer Vision Systems: Past, Present, and Future,
PDA83(199-237). BibRef 8300

Goodman, A.M., Haralick, R.M., and Shapiro, L.G.,
Knowledge-Based Computer Vision: Integrated Programming Language and Data Management System Design,
Computer(22), No. 12, December 1989, pp. 43-54. Discussion of knowledge issues for analysis. BibRef 8912

Kak, A.C., Vayda, A.J., Cromwell, R.L., Kim, W.Y., and Chen, C.H.,
Knowledge-Based Robotics,
Int. J. Prod. Res.(26), No. 5, 1988, pp. 707-734. BibRef 8800
Earlier: CRA87(637-646). BibRef

Falk, H.,
Knowledge-Directed Vision: Control, Learning, and Integration: Prolog,
PIEEE(84), No. 11, November 1996, pp. 1623-1624. 9611
Introduction. See also Knowledge-Directed Vision: Control, Learning, and Integration. BibRef

Crevier, D., Lepage, R.,
Knowledge-Based Image Understanding Systems: A Survey,
CVIU(67), No. 2, August 1997, pp. 161-185.
DOI Link 9708
Survey, Knowledge-Based Vision. BibRef

Roberto, V.,
Knowledge-based understanding of signals: An introduction,
SP(32), No. 1-2, 1993, pp. 29-56. BibRef 9300

O'Donnell, R.,
A Hybrid System For 2-Dimensional Image Recognition: Prolog,
PIEEE(84), No. 11, November 1996, pp. 1657-1658. 9611
See also Hybrid System For 2-Dimensional Image Recognition, A. BibRef

Rohr, K.[Karl],
Landmark-Based Image Analysis: Using Geometric and Intensity Models,
KluwerAcademic Publishers, Dordrecht Boston London 2001. Computational Imaging and Vision Series, Vol. 21, ISBN: 0-7923-6751-0.
WWW Link. Emphasis is on model-based approaches. Practical applications, notably in medicine (neurosurgery and radiology). BibRef 0100

Ahmadyfard, A.R., Kittler, J.V.,
Using relaxation technique for region-based object recognition,
IVC(20), No. 11, September 2002, pp. 769-781.
Elsevier DOI 0209
Medical application. BibRef

Kittler, J.V.[Josef V.], Ahmadyfard, A.R.[Ali-Reza],
On Matching Algorithms for the Recognition of Objects in Cluttered Background,
VF01(51 ff.).
Springer DOI 0209

Kittler, J.V.[Josef V.], Ahmadyfard, A.R.[Ali R.],
Multiple Classifier System Approach to Model Pruning in Object Recognition,
ECCV04(Vol IV: 342-353).
Springer DOI 0405
Earlier: A2, A1:
A Multiple Classifier System Approach to Affine Invariant Object Recognition,
CVS03(438 ff).
Springer DOI 0306
Earlier: A2, A1:
Region-Based Object Recognition: Pruning Multiple Representations and Hypotheses,
PDF File. 0009

Ahmadyfard, A.R., Kittler, J.V.,
A comparative study of two object recognition methods,
BMVC02(Poster Session). 0208

CVonline: Scene Understanding,
CV-OnlineJuly 2001.
HTML Version. Survey, Image Understanding. BibRef 0107

Xie, L.[Lin], Lee, F.F.[Fei-Fei], Liu, L.[Li], Kotani, K.[Koji], Chen, Q.[Qiu],
Scene recognition: A comprehensive survey,
PR(102), 2020, pp. 107205.
Elsevier DOI 2003
Survey, Scene Recognition. Scene recognition, Patch feature encoding, Spatial layout pattern learning, Deep learning BibRef

Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
Bringing Semantics into Focus Using Visual Abstraction,
abstract scenes; semantic understanding. Create abstract images to study how to extract meaning. BibRef

Lee, S.C.[Soo Chahn], Kim, D.H.[Duck Hoon], Lee, S.U.[Sang Uk], Yun, D.Y.[Dong Yun],
How Can We Evaluate Object Recognition Algorithms Using a Public Object Image Database?,
EEMCV05(III: 37-37).

Matsuyama, T.[Takashi],
Cooperative Distributed Vision,
DARPA98(365-384). General overview invited talk BibRef 9800

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Crowdsourcing, Recognition, Analysis, Descriptions .

Last update:Oct 19, 2020 at 15:02:28