The Intrinsic Constraint Model for Stereo-Motion Integration

Tassinari, Hadley; Domini, Fulvio; Caudek, Corrado

doi:10.1068/p5501

Cited by 26 publications

(27 citation statements)

References 45 publications

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“…We chose binocular viewing for the motion stimuli so as to have the same extra-retinal signals for both disparity-only and velocity-only stimuli. According to our hypothesis, in fact, both retinal velocities and binocular disparities are modulated in the same fashion by the extra-retinal signals (Domini & Caudek, 2009;Domini et al, 2006;Tassinari et al, 2008). If the motion stimuli had been seen monocularly, then no vergence angle information would have been provided to scale the optic flow information.…”

Section: Methodsmentioning

confidence: 99%

“…We provided evidence that this is achieved by a probabilistic process which assigns the most likely 3D interpretation to (ambiguous) local first-order properties of the optic flow. As a consequence, the perceptual interpretation of velocity information is, in general, neither veridical nor internally consistent Caudek & Proffitt, 1993;Caudek & Rubin, 2001;Di Luca, Domini, & Caudek, 2004Domini & Braunstein, 1998;Domini & Caudek, 1999, 2003a, 2003bDomini, Caudek, & Proffitt, 1997;Domini, Caudek, & Richman, 1998;Domini, Caudek, & Skirko, 2003;Domini, Caudek, & Tassinari, 2006;Domini, Caudek, Turner, & Favretto, 1998;Domini, Vuong, & Caudek, 2002;Tassinari, Domini, & Caudek, 2008).…”

Section: Perceived Depth From Velocity Signalsmentioning

confidence: 99%

“…(4), respectively. Recently, we have advanced a different proposal, according to which the apparent depth of a stimulus is determined by the magnitude of motion and/or disparity differences in a display relative to the uncertainty (i.e., internal noise) arising from the measurement of those signals (Domini et al, 2006;Tassinari et al, 2008). Our proposal is formulated in terms of a normative model of depth-cue integration (the intrinsic constraint model), but it can also be applied to depth recovery from single cues and to depth-matching tasks.…”

Section: Perceptual Depth-matching Of Single-cue Stimulimentioning

confidence: 99%

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Matching perceived depth from disparity and from velocity: Modeling and psychophysics

Domini

Caudek

2010

Acta Psychologica

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a b s t r a c tWe asked observers to match in depth a disparity-only stimulus with a velocity-only stimulus. The observers' responses revealed systematic biases: the two stimuli appeared to be matched in depth when they were produced by the projection of different distal depth extents. We discuss two alternative models of depth recovery that could account for these results. (1) Depth matches could be obtained by scaling the image signals by constants not specified by optical information, and (2) depth matches could be obtained by equating the stimuli in terms of their signal-to-noise ratios (see Domini & Caudek, 2009). We show that the systematic failures of shape constancy revealed by observers' judgments are well accounted for by the hypothesis that the apparent depth of a stimulus is determined by the magnitude of the retinal signals relative to the uncertainty (i.e., internal noise) arising from the measurement of those signals.

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Section: Methodsmentioning

confidence: 99%

Section: Perceived Depth From Velocity Signalsmentioning

confidence: 99%

Section: Perceptual Depth-matching Of Single-cue Stimulimentioning

confidence: 99%

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Matching perceived depth from disparity and from velocity: Modeling and psychophysics

Domini

Caudek

2010

Acta Psychologica

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“…The intrinsic constraint (IC) model proposes that, rather than deriving the full metric depth map, it is more advantageous for an organism to derive the best estimate of the local affine structure and use haptic feedback to calibrate ordinally scaled distance estimates (Di Luca, Domini, & Caudek, 2007;Domini & Caudek, in press;Domini, Caudek, & Tassinari, 2006;Tassinari, Domini, & Caudek, 2008; see also Thaler & Goodale, 2010).…”

Section: Intrinsic Constraintsmentioning

confidence: 99%

Integration of disparity and velocity information for haptic and perceptual judgments of object depth

et al. 2011

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Do reach-to-grasp (prehension) movements require a metric representation of three-dimensional (3D) layouts and objects? We propose a model relying only on direct sensory information to account for the planning and execution of prehension movements in the absence of haptic feedback and when the hand is not visible. In the present investigation, we isolate relative motion and binocular disparity information from other depth cues and we study their efficacy for reach-to-grasp movements and visual judgments. We show that (i) the amplitude of the grasp increases when relative motion is added to binocular disparity information, even if depth from disparity information is already veridical, and (ii) similar distortions of derived depth are found for haptic tasks and perceptual judgments. With a quantitative test, we demonstrate that our results are consistent with the Intrinsic Constraint model and do not require 3D metric inferences (Domini, Caudek, & Tassinari, 2006). By contrast, the linear cue integration model (Landy, Maloney, Johnston, & Young, 1995) cannot explain the present results, even if the flatness cues are taken into account.

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“…The model of [10] is agnostic with respect to what should happen to perceived slant when other cues are added to the optic flow. To account for depth cue integration, in our previous research we proposed the Instrinsic Constraint (IC) model [53]–[56]. According to IC, perceived slant, depth, or curvature increase when more cues are added to the stimulus display [57].…”

Section: Introductionmentioning

confidence: 99%

Perceived Surface Slant Is Systematically Biased in the Actively-Generated Optic Flow

2012

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Humans make systematic errors in the 3D interpretation of the optic flow in both passive and active vision. These systematic distortions can be predicted by a biologically-inspired model which disregards self-motion information resulting from head movements (Caudek, Fantoni, & Domini 2011). Here, we tested two predictions of this model: (1) A plane that is stationary in an earth-fixed reference frame will be perceived as changing its slant if the movement of the observer's head causes a variation of the optic flow; (2) a surface that rotates in an earth-fixed reference frame will be perceived to be stationary, if the surface rotation is appropriately yoked to the head movement so as to generate a variation of the surface slant but not of the optic flow. Both predictions were corroborated by two experiments in which observers judged the perceived slant of a random-dot planar surface during egomotion. We found qualitatively similar biases for monocular and binocular viewing of the simulated surfaces, although, in principle, the simultaneous presence of disparity and motion cues allows for a veridical recovery of surface slant.

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The Intrinsic Constraint Model for Stereo-Motion Integration

Cited by 26 publications

References 45 publications

Matching perceived depth from disparity and from velocity: Modeling and psychophysics

Matching perceived depth from disparity and from velocity: Modeling and psychophysics

Integration of disparity and velocity information for haptic and perceptual judgments of object depth

Perceived Surface Slant Is Systematically Biased in the Actively-Generated Optic Flow

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