Brady, M.,
Computer Vision: Correspondent's Report,
AI(19), No. 1, September 1982, pp. 7-16.
Elsevier DOI Correspondent's report.
BibRef
8209
Brady, M.,
Parallelism in Vision: Correspondent's Report,
AI(21), No. 3, September 1983, pp. 271-284.
Elsevier DOI
BibRef
8309
Nevatia, R.,
Characterization and Requirements of Computer vision Systems,
CVS78(81-87).
BibRef
7800
USC Computer Vision
BibRef
Reddy, R.,
Pragmatic Aspects of Machine Vision,
CVS78(89-98).
BibRef
7800
Longuet-Higgins, H.C.,
Sutherland, N.S., (Eds.)
The Psychology of Vision,
Royal(B-290), 1980, pp. 1-218.
Discussion at the Royal Society, and the special issue with the papers.
BibRef
8000
Kanade, T.,
Reddy, R.,
Computer Vision: The Challenge of Imperfect Inputs,
Spectrum(20), No. 11, November 1983, pp. 88-91.
BibRef
8311
Trivedi, M.M.[Mohan M.], and
Rosenfeld, A.[Azriel],
On Making Computers See,
SMC(19), No. 6, November/December 1989, pp. 1333-1335.
Special issue introduction.
BibRef
8911
Aloimonos, Y.,
Fermüller, C.,
Rosenfeld, A.,
Seeing and Understanding: Representing the Visual World,
Surveys(27), No. 3, September 1995, pp. 307-309.
Part of a series of articles in the volume of Surveys.
BibRef
9509
Fermüller, C.,
Aloimonos, Y.,
Ordinal Representations of Visual Space,
ARPA96(897-904).
BibRef
9600
Rosenfeld, A.[Azriel],
Recognizing Unexpected Objects: A Proposed Approach,
PRAI(1), No. 1, 1987, pp. 71-84.
Recognize General Objects. Discussion of how people seem to recognize unexpected objects very
quickly and a proposal of how it might be done: parallel recognition
of parts and parallel combination at the object level.
BibRef
8700
Granlund, G.H.[Gösta H.],
Knutsson, H.,
Westelius, C.J.,
Wiklund, J.,
Issues in Robot Vision,
IVC(12), No. 3, April 1994, pp. 131-148.
Elsevier DOI
BibRef
9404
Earlier: A1 only:
BMVC93(xx-yy).
PDF File.
BibRef
Bottoni, P.,
Mussio, P.,
Protti, M.,
Metareasoning in the Determination of Image Interpretation Strategies,
PRL(15), No. 2, February 1994, pp. 177-190.
BibRef
9402
Bottoni, P.,
Cinque, L.,
Levialdi, S.,
Mussio, P.,
Nebbia, B.,
Structural characterisation of image processing operators,
CIAP97(I: 430-437).
Springer DOI
9709
BibRef
Jolion, J.M.,
Computer Vision Methodologies,
CVGIP(59), No. 1, January 1994, pp. 53-71.
DOI Link Analysis of the Marr paradigm, propose a new framework that eploits
all sources of constraints.
BibRef
9401
Fisher, R.B.,
Is Computer Vision Still AI?,
AIMag(15), No. 2, 1994, pp. 21-27.
BibRef
9400
Edinburgh
BibRef
Quek, F.K.H.,
Eyes in the Interface,
IVC(13), No. 6, August 1995, pp. 511-525.
Elsevier DOI
BibRef
9508
Shafer, S.,
Panel on Computer Vision: Past, Present and Future,
CVPR94(no printed paper).
Led by Shafer
BibRef
9400
Marr, D., and
Nishihara, H.K.,
Visual Information Processing:
Artificial Intelligence and the Sensorium of Sight,
Technology Review(81), No. 1, January 1978, pp. 2-23. Reprinted:
BibRef
7801
RCV87(616-637).
General paper on vision in humans and the computer.
BibRef
Haralick, R.M.[Robert M.], and
Ullmann, J.R.[Julian R.],
A Report on the 1982 IEEE Computer Vision Workshop,
TRunpublished report, 1982.
This report summarizes the papers presented at
the workshop and gives some suggestions for the future of IU
research. The usual plea for avoiding ad hoc solutions to
particular problems and to address the
real problems involved in computer vision.
BibRef
8200
Haralick, R.M.[Robert M.],
Computer Vision Theory: The Lack Thereof,
CVGIP(36), No. 2/3, November/December 1986, pp. 372-386.
Elsevier DOI
BibRef
8611
Earlier:
CVWS85(113-121).
The paper explores some theories of matching and
explores how to compare them.
BibRef
Asada, M., and
Tsuji, S.,
Introduction: Machine Vision Research at Osaka University,
IJCV(9), No. 1, October 1992, pp. 5-11.
Springer DOI The overview for the special issue with many references for the Osaka work.
BibRef
9210
Ahuja, N.,
Horaud, R.,
Special Volume on Computer Vision: Introduction,
AI(78), No. 1-2, October 1995, pp. 1-3.
Elsevier DOI
BibRef
9510
di Ruocco, N.,
Vitale, A.,
Vitulano, S.,
Artificial Intelligence In Vision,
ICPR92(I:453-456).
IEEE DOI
BibRef
9200
Shirai, Y.,
3D Computer Vision and Applications,
ICPR92(I:236-245).
IEEE DOI
BibRef
9200
Kummert, F.,
Sagerer, G.F.,
Niemann, H.,
A Problem-Independent Control Algorithm for
Image Understanding,
ICPR92(I:297-301).
IEEE DOI
BibRef
9200
Kanatani, K.,
Geometric Computation for Machine Vision,
Oxford, UK:
Oxford University Press1993.
Covers computational projective geometry applied to 3D shape,
camera calibration, motion, and optical flow.
BibRef
9300
Kanatani, K.,
Group Theoretic Methods in Image Understanding,
Berlin:
Springer1990.
BibRef
9000
Livingston, M., and
Huber, D.,
Segregation of Form, Color,
Movement, and Depth: Anatomy, Physiology, and Perception,
Science(240), May 6, 1988, pp. 740-749.
Human vision discussion.
BibRef
8805
Kender, J.R.[John R.],
Environmental Relations in Image Understanding: The Force of Gravity,
DARPA83(249-256).
BibRef
8300
And:
Environmental Labelings in Low Level Image Understanding,
IJCAI83(1104-1107).
Use horizontal and vertical assumptions to aid in interpreting an image.
BibRef
Tsotsos, J.K.,
A 'Complexity Level' Analysis of Immediate Vision,
IJCV(1), No. 4, January, 1988, pp. 303-320.
Springer DOI
BibRef
8801
Earlier:
ICCV87(346-355).
Award, Marr Prize, HM.
BibRef
And:
Analyzing Vision at the Complexity Level,
BBS(13), 1990, pp. 423-469.
BibRef
Earlier:
Analyzing Vision at the Complexity Level:
Constraints on an Architecture, An Explanation for Visual Search Performance,
and Computational Justification for Attentive Processes,
RBCV-TR-87-20, September, 1987, Toronto. What are the
complexity constraints imposed by the human visual system on the type of
processing? Vision, only bottom-up, not goal directed is exponential in
pixels, but structure wins.
BibRef
Tsotsos, J.K.,
The Complexity of Perceptual Search Tasks,
IJCAI89(1571-1577),
BibRef
8900
And:
RBCV-TR-89-28, April 1989, Toronto.
This one states that vision is NP-complete (bottom-up) or
linear (task directed).
BibRef
Haber, R.N.,
Toward a Theory of the Perceived Spatial Layout of Scenes,
CVGIP(31), No. 3, September 1985, pp. 282-321.
Elsevier DOI
BibRef
8509
Herman, G.T.,
On Topology as Applied to Image Analysis,
CVGIP(52), No. 3, December 1990, pp. 409-415.
Elsevier DOI Extends the claim of Kovalevsky regarding topology of cellular complexes.
BibRef
9012
Brown, C.M.[Chris M.],
Computer Vision and Natural Constraints,
Science(224), No. 4655, 22 June 1984, pp. 1299-1305.
Discussion of the various constraints that can be applied to the computer
vision problem, such as geometry, sensor, coherence, physics, etc.
BibRef
8406
Kak, A.C.,
Sensory Aspects of Robotic Intelligence,
AIMag(13), No. 1, Spring 1992, pp. 20-21.
BibRef
9200
Koza, J.R.,
Automated Discovery of Detectors and Interation -- Performing
Calculations to Recognize Patterns in Protein Sequences Using
Genetic Programming,
CVPR94(684-689).
IEEE DOI
Genetic Algorithms.
BibRef
9400
Brooks, R.A.,
Intelligence without Representation,
AI(47), No. 1-3, January 1991, pp. 139-159.
Elsevier DOI His argument for no representation -- i.e. reactive systems.
BibRef
9101
Kirsh, D.,
Today the Earwig, Tomorrow Man?,
AI(47), No. 1-3, January 1991, pp. 161-184.
Elsevier DOI The response to Brooks on why representations are necessary.
BibRef
9101
Onuallain, S.,
Smith, A.G.,
An Investigation Into The Common Semantics Of Language And Vision,
AIR(8), No. 2-3, 1994, pp. 113-122.
BibRef
9400
Herzog, G.,
Wazinski, P.,
Visual Translator:
Linking Perceptions And Natural-Language Descriptions,
AIR(8), No. 2-3, 1994, pp. 175-187.
BibRef
9400
Nagel, H.H.,
A Vision of Vision and Language Comprises Action:
An Example From Road Traffic,
AIR(8), No. 2-3, 1994, pp. 189-214.
BibRef
9400
Nagel, H.H.[Hans-Hellmut],
Reflections on Cognitive Vision Systems,
CVS03(34 ff).
Springer DOI
0306
BibRef
Oka, R.,
The Real-World Computing Program,
AIR(8), No. 2-3, 1994, pp. 105-111.
BibRef
9400
Oka, R.,
Hierarchical Labeling For Integrating Images And Words,
AIR(8), No. 2-3, 1994, pp. 123-145.
BibRef
9400
Firschein, O.,
The Image Understanding Program at ARPA,
IEEE_EXPERT(10), No. 5, October 1995, pp. 8-10.
BibRef
9510
Firschein, O.,
Defense Applications of Image Understanding,
IEEE_EXPERT(10), No. 5, October 1995, pp. 11-17.
BibRef
9510
Grimson, W.E.L.,
Medical Applications of Image Understanding,
IEEE_EXPERT(10), No. 5, October 1995, pp. 18-28.
PDF File.
Application, Medical.
BibRef
9510
Inoue, H.,
Vision-Based Robotics:
A Challenge to Real-World Artificial-Intelligence,
AdvRob(9), No. 4, 1995, pp. 351-366.
BibRef
9500
Loughlin, C.,
Vision Of The Future,
IndRob(22), No. 6, 1995, pp. 2-2.
Industrial Applications.
BibRef
9500
Braggins, D.,
A Critical-Look At Robot Vision,
IndRob(22), No. 6, 1995, pp. 9-12.
BibRef
9500
Pavlidis, T.,
A Critical Survey of Image Analysis Methods,
ICPR86(502-511), expanded version.
Survey, Image Analysis.
Image Analysis, Survey. Generally we have been very slow in integrating results into
useful programs.
BibRef
8600
Fairhurst, M.C.,
Special Section from IPA95,
VISP(143), No. 4, August 1996, pp. 233-233.
9611
BibRef
Petkovic, D.,
Wilder, J.,
Machine Vision in the 1990s: Applications and How to Get There,
MVA(4), 1991, pp. 113-126.
BibRef
9100
Mason, M.T.[Matthew T.],
Kicking the Sensing Habit,
AIMag(14), No. 1, Spring 1993, pp. 58-59.
Real sensing for robots is hard and may not help.
BibRef
9300
Miller, D.P.[David P.],
A Twelve-Step Program to More Efficient Robotics,
AIMag(14), No. 1, Spring 1993, pp. 60-63.
See the previous paper.
BibRef
9300
Miller, D.P.[David P.],
The Long-Term Effects of Secondary Sensing,
AIMag(15), No. 1, Spring 1994, pp. 52-56.
See the previous two papers. Keep the sensing simple and it
will be faster.
BibRef
9400
Pavlidis, T.,
Why Progress in Machine Vision Is so Slow,
PRL(13), 1992, pp. 221-225.
BibRef
9200
Chella, A.[Antonio],
Frixione, M.[Marcello],
Gaglio, S.[Salvatore],
A Cognitive Architecture for Artificial Vision,
AI(89), No. 1-2, January 1997, pp. 73-111.
Elsevier DOI
9704
BibRef
Chella, A.[Antonio],
Frixione, M.[Marcello],
Gaglio, S.[Salvatore],
Conceptual Spaces for Computer Vision Representations,
AIR(16), No. 2, October 2001, pp. 137-152.
WWW Link.
1208
BibRef
Granlund, G.H.[Goesta H.],
The complexity of vision,
SP(74), No. 1, 1 April 1999, pp. 101-126.
BibRef
9904
Jain, R.,
Perception engineering,
MVA(1), No. 2, 1988, pp. 73-74.
BibRef
8800
Bleicher, A.,
Eyes in the Sky That See Too Much,
Spectrum(47), No. 10, October 2010, pp. 16-16.
IEEE DOI
1011
Update
BibRef
Meer, P.[Peter],
Are we making real progress in computer vision today?,
IVC(30), No. 8, August 2012, pp. 472-473.
Elsevier DOI
1209
Opinion paper; Computer vision; Human vision
BibRef
Yuille, A.L.,
Computer vision needs a core and foundations,
IVC(30), No. 8, August 2012, pp. 469-471.
Elsevier DOI
1209
Opinion paper; Core; Foundations
BibRef
Huang, T.S.[Thomas S.],
Can the World-Wide Web Bridge the Semantic Gap?,
IVC(30), No. 8, August 2012, pp. 463-464.
Elsevier DOI
1209
Opinion paper; New frontiers in computer vision
BibRef
Thenkabail, P.S.[Prasad S.],
Remote Sensing Open Access Journal:
Increasing Impact through Quality Publications,
RS(6), No. 8, 2014, pp. 7463-7468.
DOI Link
1410
BibRef
Thenkabail, P.S.[Prasad S.],
Remote Sensing Best Paper Award for the Year 2015,
RS(7), No. 5, 2015, pp. 5370-5372.
DOI Link
1506
BibRef
And:
Remote Sensing 10th Anniversary Best Paper Award,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Carter, E.,
Paragreen, J.,
Valfre`, G.,
Fletcher, D.,
Passenger acceptance of counter-terrorism security measures in
stations,
IET-ITS(10), No. 1, 2016, pp. 2-9.
DOI Link
1602
security
BibRef
Parhami, B.,
Low Acceptance Rates of Conference Papers Considered Harmful,
Computer(49), No. 4, April 2016, pp. 70-73.
IEEE DOI
1604
BibRef
Weber, A.[Andreas],
Piesche, C.[Claudia],
Requirements on Long-Term Accessibility and Preservation of Research
Results with Particular Regard to Their Provenance,
IJGI(5), No. 4, 2016, pp. 49.
DOI Link
1604
BibRef
Sesartic, A.[Ana],
Fischlin, A.[Andreas],
Töwe, M.[Matthias],
Towards Narrowing the Curation Gap: Theoretical Considerations and
Lessons Learned from Decades of Practice,
IJGI(5), No. 6, 2016, pp. 91.
DOI Link
1608
Issues of maintaining results of research.
BibRef
Borji, A.[Ali],
Negative results in computer vision: A perspective,
IVC(69), No. 1, 2018, pp. 1-8.
Elsevier DOI
1712
Negative results, All results,
Biological vision, Statistical testing
BibRef
Hoffmann, L.[Leah],
Guiding Computers, Robots to See and Think,
CACM(62), No. 3, March 2019, pp. 120-ff.
DOI Link
1906
Discussion of work of Fei-Fei Li.
BibRef
Suo, J.L.[Jin-Li],
Zhang, W.H.[Wei-Hang],
Gong, J.[Jin],
Yuan, X.[Xin],
Brady, D.J.[David J.],
Dai, Q.H.[Qiong-Hai],
Computational Imaging and Artificial Intelligence:
The Next Revolution of Mobile Vision,
PIEEE(111), No. 12, December 2023, pp. 1607-1639.
IEEE DOI
2312
BibRef
Gebru, T.[Timnit],
Denton, R.[Remi],
Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating
Harms and Fostering Community-Rooted Computer Vision Research,
FTCGV(16), No. 3, 2024, pp. 215-321.
DOI Link
2410
BibRef
Jain, R.C.[Ramesh C.],
Multimodal Agents: From Vision to Reality,
MultMedMag(31), No. 4, October 2024, pp. 4-16.
IEEE DOI
2501
Technical requirements, Ethics, Buildings, Medical services,
Intelligent systems, Autonomous vehicles
BibRef
Wang, W.G.[Wen-Guan],
Yang, Y.[Yi],
Wu, F.[Fei],
Towards Data-And Knowledge-Driven AI:
A Survey on Neuro-Symbolic Computing,
PAMI(47), No. 2, February 2025, pp. 878-899.
IEEE DOI
2501
Cognition, Artificial intelligence, Logic, Surveys,
Biological neural networks, Visualization, Symbols,
deep learning
BibRef
Miller, G.[Gregor],
Fels, S.S.[Sidney S.],
Oldridge, S.[Steve],
A Conceptual Structure for Computer Vision,
CRV11(168-174).
IEEE DOI
1105
Describe computer vision in terms of descriptions of the problem, not
the algorithm.
BibRef
Oertel, C.,
Colder, B.,
Colombe, J.B.,
High, J.,
Ingram, M.,
Sallee, P.,
Current challenges in automating visual perception,
AIPR08(1-8).
IEEE DOI
0810
BibRef
Koenderink, J.J.[Jan J.],
Something Old, Something New, Something Borrowed, Something Blue,
ECCV08(I: 1).
Springer DOI
0810
Invited talk. Discuss general computer vision from a 30+ year perspective.
BibRef
Ishii, H.,
Tangible bits: designing the boundary between people, bits, and atoms,
ICPR02(III: 277-277).
IEEE DOI
0211
BibRef
Pinz, A.,
Consistent Visual Information Processing Applied to Object Recognition,
Landmark Definition, and Real-Time Tracking,
VMV01(xx-yy).
PDF File.
0209
BibRef
Geman, S.,
Hierarchy in Machine and Natural Vision,
SCIA99(Invited Talk).
BibRef
9900
Bennett, B.M.,
Hoffman, D.D.,
Prakash, C.,
Perception and Computation,
ICCV87(356-364).
BibRef
8700
Stockman, G.C., and
Bowyer, K.W.,
Education for Computer Vision: Panel,
CVPR96(TA2).
The results will become available.
BibRef
9600
Horn, B.K.P.,
Towards a Science of Image Understanding,
IJCAI77(648).
BibRef
7700
Chapter on Books, Collections, Overviews, General, and Surveys continues in
Computer Vision Surveys .