Psychophysical study of image orientation perception

Spatial Vision

Volumn 16, Issue 5, 2003, Pages 429-457

  Luo, Jiebo ^a   Crandall, David ^a   Singhal, Amit ^a   Boutell, Matthew ^a   Gray, Robert T ^a  

^a EASTMAN KODAK COMPANY   (United States)

Author keywords

Human observer; Image orientation; Image resolution; Low level cues; Photo space; Semantic cues

Indexed keywords

DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; PSYCHOPHYSIOLOGY; SEMANTICS;

HUMAN OBSERVER; IMAGE ORIENTATION PERCEPTION; IMAGE RESOLUTION;

VISION;

ADULT; ARTICLE; COMPARATIVE STUDY; FEMALE; HUMAN; MALE; MIDDLE AGED; ORIENTATION; PATTERN RECOGNITION; PHOTOGRAPHY; PHYSIOLOGY; PSYCHOPHYSICS; REPRODUCIBILITY; ROTATION; VISION;

ADULT; FEMALE; HUMANS; MALE; MIDDLE AGED; ORIENTATION; PATTERN RECOGNITION, VISUAL; PHOTOGRAPHY; PSYCHOPHYSICS; REPRODUCIBILITY OF RESULTS; ROTATION; VISUAL PERCEPTION;

EID: 1642543384     PISSN: 01691015     EISSN: None     Source Type: Journal    
DOI: 10.1163/156856803322552757     Document Type: Article

References (34)

1. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding, Psychol. Rev. 84, 115-147.
2. Braine, L., Relyea, L. and Davidman, L. (1981). On how adults identify the orientation of a shape, Perception and Psychophysics 29, 138-144.
3. Campbell, N. W., Thomas, B. T. and Troscianko, T. (1997). Automatic segmentation and classification of outdoor images using neural networks, Intern. J. Neural Systems 8 (1), 137-144.
4. Corbalis, M. C., Zbrodoff, N. I., Shetzer, L. L. and Butler, P. B. (1978). Decisions about identity and orientation of rotated letters and digits, Memory and Cognition 6, 98-107.
5. Dakin, S., Williams, C. and Hess, R. (1999). The interaction of first- and second-order cues to orientation, Vision Research 39, 2867-2884.
6. DeCaro, S. (1998). On the perception of objects and their orientations, Spatial Vision 11, 385-399.
7. DeCaro, S. and Reeves, A. (2000). Rotating objects to determine orientation, not identity: Evidence from a backward-masking/dual-task procedure, Perception and Psychophysics 62, 1356-1366.
8. DeCaro, S. and Reeves, A. (2002). The use of word-picture verification to study entry-level object recognition: Further support for view-invariant mechanisms, Memory and Cognition 30, 811-821.
9. Hamm, J. and McMullen, P. (1998). Effects of orientation on the identification of rotated objects depend on the level of identity, J. Exp. Psychol.: Human Perception and Performance 24, 413-426.
10. Iqbal, Q. and Aggarwal, J. K. (2002). Retrieval by classification of images containing large manmade objects using perceptual grouping, Pattern Recognition 35, 1463-1479.
11. Jilicoeur, P. (1985). The time to name disoriented natural objects, Memory and Cognition 13, 289-303.
12. Jolicoeur, P. (1992). Orientation congruency effects in visual search, Canad. J. Psychol. 46, 280-305.
13. Jolicoeur, P., Corballis, M. and Lawson, R. (1998). The influence of perceived rotary motion on the recognition of rotated objects, Psychonomic Bull. Rev. 5, 140-146.
14. Lawson, R. and Jolicoeur, P. (2003). Recognition thresholds for plane-rotated pictures of familiar objects, Acta Psychologica 112, 17-41.
15. Lloyd-Jones, T. J. and Luckhurst, L. (2002). Effects of plane rotation, task, and complexity on recognition of familiar and chimeric objects, Memory & Cognition 30, 499-510.
16. Luo, J. and Boutell, M. (2003). An integrated approach to image orientation detection based on low-level and semantic cues, in: Proc. IEEE Intern. Conf. on Computer Vision (submitted).
17. Luo, J. and Etz, S. (2002). A physical model-based approach to detecting sky in photographic images, IEEE Trans. Image Processing 11, 201-212.
18. Luo, J. and Savakis, A. (2001). Indoor vs. outdoor classification of consumer photographs using low-level and semantic features, in: Proc. IEEE Intern. Conf. Image Processing, Thessaloniki, Greece, pp. 745-748.
19. Maki, R. (1986). Naming and locating the tops of rotated pictures, Canad. J. Psychol. 40, 368-387.
20. Mareschal, I., Sceniak, M. and Shapley, R. (2001). Contextual influences on orientation discrimination: Binding local and global cues, Vision Research 41, 1915-1930.
21. McKone, E. and Grenfell, T. (1999). Orientation invariance in naming rotated objects: Individual differences and repetition priming, Perception and Psychophysics 61, 1590-1603.
22. Naphade, M. and Huang, T. S. (2000). A probabilistic framework for semantic indexing and retrieval in video, in: Proc. IEEE Intern. Conf. on Multimedia and Expo (ICME), New York, NY, pp. 745-748.
23. Nicholson, K. and Humphrey, G. (2001). Surface cues reduce the latency to name rotated images of objects, Perception 30, 1057-1081.
24. Saber, E., Tekalp, A. M., Eschbach, R. and Knox, K. (1996). Automatic image annotation using adaptive color classification, in: CVGIP: Graphical Models Image Processing, Vol. 58, pp. 115-126.
25. Schneiderman, H. and Kanade, T. (1998). Probabilistic modeling of local appearance and spatial relationships of object recognition, in: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Santa Barbara, CA, pp. 45-51.
26. Schneiderman, H. and Kanade, T. (2000). A statistical approach to 3D object detection applied to faces and cars, in: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Hilton Head, SC, pp. 746-751.
27. Smeulders, A. W. M., Worring, M., Santini, S., Gupta, A. and Jain, R. (2000). Content-based image retrieval: The end of the early years, IEEE Trans. on Pattern Analysis and Machine Intelligence 22 (12), 1349-1380.
28. Szummer, M. and Picard, R. (1998). Indoor-outdoor image classification, Proc. IEEE Intern. Workshop on Content-Based Access Image Video Database, Santa Barbara, CA, pp. 42-51.
29. Tarr, M. and Bulthoff, H. (1995). Is human object recognition better described by geon structural descriptions or by multiple views? Comment on Biederman and Gerhardstein (1993), J. Exp. Psychol.: Human Perception and Performance 21, 1494-1505.
30. Tarr, M. and Bulthoff, H. (1998). Image-based object recognition in man, monkey, and machine, Cognition 67, 1-20.
31. Vailaya, A., Jain, A. and Zhang, H.-J. (1998). On image classification: City images vs. landscapes, Pattern Recognition 31, 1921-1936.
32. Vailaya, A., Jain, A. and Zhang, H.-J. (1999). Automatic image orientation detection, in: Proc. IEEE Intern. Conf. on Image Processing, Kobe, Japan, pp. 600-604.
33. Vannucci, M. and Viggiano, M. P. (2000). Category effects on the processing of plane-rotated objects, Perception 29, 287-302.
34. Wang, Y. and Zhang, H. (2001). Content-based image orientation detection with support vector machines, in: Proc. IEEE Workshop on Content-Based Access Image Video Libraries (CBAIVL2001), Kauai, Hawaii, pp. 17-23.