The perception of 3-dimensional affine structure from minimal apparent motion sequences

Todd, James T.; Bressan, Paola

doi:10.3758/bf03211585

Cited by 196 publications

(298 citation statements)

References 49 publications

Supporting

Mentioning

261

Contrasting

Order By: Relevance

“…Todd and Bressan ( 1990) and Todd and Norman ( 199 1) postulate that structure can be extracted from motion only up to the particular affine transformation of stretching along the line of sight. One line of evidence they provide to support the athne theory is their tinding that perceived depth from two frame motion is not significantly different from either four or eight frame motion.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Integration of stereopsis and motion shape cues

Cumming²,

1994

View full text Add to dashboard Cite

A global shape judgement task was used to investigate the combination of stereopsis and kinetic depth. With botb cues present, there were no distortions of shape perception, even under conditions where either cue alone did show such distortions. We suggest that the addition of motion information overcomes the stereo distance scaling problem. However, when incongruent combinations of disparity and motion were used, the results did not match predictions of a number of combination theories. These data could be described by a model which used weighted linear combination afier correctly scaling disparities for viewing distance. When the motion cue was weakened by presenting only two frames of each motion sequence, stereo was weighted more heavily.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Another reason that it is of interest to examine two frame motion is the recent suggestion of Todd and others (Bennett, Hoffman & Prakash, 1989;Todd & Bressan, 1990;Todd & Norman, 1991) concerning the representation produced by structure from motion. Their hypothesis is that metric structure is not available from kinetic depth.…”

Section: Methodsmentioning

confidence: 99%

Integration of stereopsis and motion shape cues

Cumming²,

1994

View full text Add to dashboard Cite

show abstract

“…These results show that detecting changes in relative velocities over time would be a successful strategy for this task. Performance in the task may be limited by the inability to detect accelerations (57,58). However, after training, four observers could perform the task reliably, which suggests that observers can learn to associate changes in relative velocities with changes in shape.…”

Section: Resultsmentioning

confidence: 99%

Discerning nonrigid 3D shapes from motion cues

Jain

Zaidi²

2011

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Many organisms and objects deform nonrigidly when moving, requiring perceivers to separate shape changes from object motions. Surprisingly, the abilities of observers to correctly infer nonrigid volumetric shapes from motion cues have not been measured, and structure from motion models predominantly use variants of rigidity assumptions. We show that observers are equally sensitive at discriminating cross-sections of flexing and rigid cylinders based on motion cues, when the cylinders are rotated simultaneously around the vertical and depth axes. A computational model based on motion perspective (i.e., assuming perceived depth is inversely proportional to local velocity) predicted the psychometric curves better than shape from motion factorization models using shape or trajectory basis functions. Asymmetric percepts of symmetric cylinders, arising because of asymmetric velocity profiles, provided additional evidence for the dominant role of relative velocity in shape perception. Finally, we show that inexperienced observers are generally incapable of using motion cues to detect inflation/deflation of rigid and flexing cylinders, but this handicap can be overcome with practice for both nonrigid and rigid shapes. The empirical and computational results of this study argue against the use of rigidity assumptions in extracting 3D shape from motion and for the primacy of motion deformations computed from motion shears.optic-flow | structure-from-motion

show abstract

“…Psychophysical results show that human performance on some sfm tasks is at least broadly consistent with predictions based on the rigidity assumption (Wallach and O'Connell 1953;Koenderik 1986). More recent affine models are based only on local velocity information, rather than on the entire optic flow field, to account for human perception (Todd and Bressan 1990;Todd and Norman 1991).…”

Section: Introductionmentioning

confidence: 99%

A unified probabilistic model of the perception of three-dimensional structure from optic flow

Colas

et al. 2007

Biol Cybern

View full text Add to dashboard Cite

To cite this version:Francis Colas, Jacques Droulez, Mark Wexler, Pierre Bessiere. A unified probabilistic model of the perception of three-dimensionnal structure from optic flow. Human observers can perceive the threedimensional (3-D) structure of their environment using vari.. 2006. The date of receipt and acceptance will be inserted by the editor Abstract Human observers can perceive the threedimensional (3-D) structure of their environment using various cues, an important one of which is motion parallax. The motion of any point's projection on the retina depends both on the point's movement in space and on its distance from the eye. Therefore, retinal motion can be used to extract the 3-D structure of the environment and the shape of objects, in a process known as structurefrom-motion (sfm). However, because many combinations of 3-D structure and motion can lead to the same optic flow, sfm is an ill-posed inverse problem. The rigidity assumption is a constraint supposed to formally solve the sfm problem and to account for human performance. Recently, however, a number of psychophysical results, in both moving and stationary human observers, have shown that the rigidity assumption alone cannot account for sfm, but no model is known to account for the new results. Here, we construct a Bayesian model of sfm based on only one new assumption, that of stationarity, coupled with the assumption of rigidity. The predictions of the model, calculated using a new and powerful methodology called Bayesian programming, account for a wide variety of experimental findings.

show abstract

The perception of 3-dimensional affine structure from minimal apparent motion sequences

Cited by 196 publications

References 49 publications

Integration of stereopsis and motion shape cues

Integration of stereopsis and motion shape cues

Discerning nonrigid 3D shapes from motion cues

A unified probabilistic model of the perception of three-dimensional structure from optic flow

Contact Info

Product

Resources

About