Numerical shape from shading and occluding boundaries

Ikeuchi, Katsushi; Horn, Berthold K. P.

doi:10.1016/0004-3702(81)90023-0

Cited by 631 publications

(301 citation statements)

References 21 publications

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“…It consists of a map of the distance and orientation of surface points with respect to the viewpoint. The different sources of depth information are processed individually to extract local measures of either the distance of a surface point from the viewer, or the local orientation of the surface with respect to the viewpoint (Ullman, 1979;Marr & Poggio, 1976;Ikeuchi & Horn, 1981;Witkin, 1981). However, the combination rule for the independent measures yielded by the different depth modules was not considered.…”

Section: Introductionmentioning

confidence: 99%

Integration of depth modules: Stereopsis and texture

Johnston¹,

1993

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Global shape judgements were employed to examine the combination of stereopsis and shape-from-texture in the determination of three-dimensional shape. Adding textural variations to stereograms increased perceived depth. Thus, texture was not simply vetoed by the strong stereo cue. In experiments where the depth specified by texture was incongruent with that specified by stereo, the data were well described by a weighted linear combination rule. Although only a small weight was assigned to texture, this weight was somewhat greater at a farther viewing distance. This could be a consequence of the decreased reliability of stereopsis at far viewing distances.

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Section: Introductionmentioning

confidence: 99%

Integration of depth modules: Stereopsis and texture

Johnston¹,

1993

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“…Based on one of the earliest minimization methods, the SFS problem is formulated as a function of surface gradients, while brightness and smoothness constraints are added to overcome the underdeterminedness condition [15]. The brightness constraint ensures the reconstructed shape produce the same brightness as the input image.…”

Section: Minimization Approachesmentioning

confidence: 99%

Densification of Digital Terrain Elevations Using Shape from Shading with Single Satellite Imagery

Rajabi

Blais

2001

Computational Science - ICCS 2001

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Abstract. Numerous geoscience and engineering applications need denser and more accurate Digital Terrain Model (DTM) height data. Collecting additional height data in the field, if not impossible, is either expensive or time consuming or both. Stereo aerial or satellite imagery is often unavailable and very expensive to acquire. Interpolation techniques are fast and cheap, but have their own inherent difficulties and problems, especially in rough terrain. Advanced space technology has provided much single (if not stereo) high-resolution satellite imageries almost worldwide. This paper discusses the idea of using Shape From Shading (SFS) methods with single high resolution imagery to densify regular grids of heights. Preliminary results are very encouraging and the methodology is going to be implemented with real satellite imagery and parallel computations.

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“…In the past, the first two kinds of analyses, the shape recovery and the reflectance recovery, have been intensively studied using the shape from shading method [7,8,9,16] as well as through reflectance analysis research [1,12,13,15,18] . In contrast, there has been little progress on the subject of recovering illumination from the knowledge of the shape and the reflectance of an object surface.…”

Section: Introductionmentioning

confidence: 99%