Region grouping in natural foliage scenes: image statistics and human performance.
This study investigated the mechanisms of grouping and segregation in natural scenes of close-up foliage, an important class of scenes for human and non-human primates. Close-up foliage images were collected with a digital camera calibrated to match the responses of human L, M, and S cones at each pixel. The images were used to construct a database of hand-segmented leaves and branches that correctly localizes the image region subtended by each object. We considered a task where a visual system is presented with two image patches and is asked to assign a category label (either same or different) depending on whether the patches appear to lie on the same surface or different surfaces. We estimated several approximately ideal classifiers for the task, each of which used a unique set of image properties. Of the image properties considered, we found that ideal classifiers rely primarily on the difference in average intensity and color between patches, and secondarily on the differences in the contrasts between patches. In psychophysical experiments, human performance mirrored the trends predicted by the ideal classifiers. In an initial phase without corrective feedback, human accuracy was slightly below ideal. After practice with feedback, human accuracy was approximately ideal.
Ing
Almon D
AD
Department of Psychology and Center for Perceptual Systems, University of Texas at Austin, TX, USA. Almon.David.Ing@gmail.com
Wilson
J Anthony
JA
Geisler
Wilson S
WS
D003118:Color Perception / Q000502:physiology*; D055253:Color Vision / Q000502:physiology; D005246:Feedback; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D007858:Learning / Q000502:physiology; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods; D018515:Plant Leaves; D011601:Psychophysics; D017949:Retinal Cone Photoreceptor Cells / Q000502:physiology; D013028:Space Perception / Q000502:physiology
J Opt Soc Am A Opt Image Sci Vis. 2003 Jul;20(7):1283-91
12868634
Vis Neurosci. 2009 Jan-Feb;26(1):123-31
19216820
Vis Neurosci. 2009 Jan-Feb;26(1):109-21
19216819
J Vis. 2002;2(4):324-53
12678582
Curr Opin Neurobiol. 2003 Apr;13(2):144-9
12744966
Annu Rev Neurosci. 2001;24:1193-216
11520932
J Opt Soc Am A Opt Image Sci Vis. 1993 Dec;10(12):2491-521
8301403
Curr Opin Neurobiol. 2001 Aug;11(4):437-42
11502389
J Exp Psychol Learn Mem Cogn. 1984 Jan;10(1):104-14
6242730
Vision Res. 2001 Mar;41(6):711-24
11248261
IEEE Trans Pattern Anal Mach Intell. 2004 May;26(5):530-49
15460277
J Vis. 2007 Jun 08;7(8):2
17685809
Annu Rev Psychol. 2008;59:167-92
17705683
Am J Psychol. 1953 Jan;66(1):20-32
13030843
J Opt Soc Am A Opt Image Sci Vis. 2005 Oct;22(10):2050-9
16277276
Perception. 2004;33(9):1101-27
15560510
Vision Res. 2000;40(19):2661-9
10958916
Annu Rev Psychol. 2004;55:271-304
14744217