Light direction from shad(ow)ed random Gaussian surfaces.

نویسندگان

  • Jan J Koenderink
  • Andrea J van Doorn
  • Sylvia C Pont
چکیده

Three human observers estimated the illumination direction for samples of random Gaussian surfaces illuminated by a collimated beam from random directions. These stimuli appear as 'texture' due to shading and shadowing (the surface on the microscale was Lambertian of uniform albedo; thus texture appears only through shading and shadowing). We found that observers were able to estimate the azimuth of the source with remarkable accuracy. In the shading regime (no shadows) the observers committed 180 degrees azimuth errors with 50% probability, whereas in the shadow-dominated regime they were able to avoid this convex/concave confusion to a large extent. They evidently relied on second-order statistics in the shading regime and used an unidentified first-order cue in the shadow regime. The elevations of the source were also estimated with remarkable precision. We attribute this to the statistical homogeneity of the sample which can apparently be exploited by the observers. Likely cues are the fraction of shadowed surface, average intensity and rms contrast. The ability of human observers to estimate the illumination direction from surface texture no doubt contributes to the ability to estimate the light field in scenes, which is a prerequisite to the photometric parsing of scenes (shape from shading, and so forth).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Three-Dimensional Shape Representation from Curvature Dependent Surface Evolution

This paper presents a novel approach to surface representation based on its diierential deformations. The evolution of an arbitrary curve by curvature deforms it to a round point while in the process simplifying it. Similarly, in this paper we seek a process that deforms an arbitrary surface into sphere without developing self-intersections, in the process creating a sequence of increasingly si...

متن کامل

On Curvature-Dependent Surface Evolution

Computer vision applications require representations for surfaces that are intrinsic and re ect the hierarchical nature of their geometric structure. Curvature-dependent ows have been successfully used for shape representation in two dimensions, principally due to a theorem on curve shortening ow stating that embedded curves evolving proportional to their curvature do not self-intersect and smo...

متن کامل

Irradiation direction from texture.

We present a theory of image texture resulting from the shading of corrugated (three-dimensional textured) surfaces, Lambertian on the micro scale, in the domain of geometrical optics. The derivation applies to isotropic Gaussian random surfaces, under collimated illumination, in normal view. The theory predicts the structure tensors from either the gradient or the Hessian of the image intensit...

متن کامل

IMAGE SEQUENCE DESCRIPTION USING SPATIOTEMPORAL FLOW CURVES: TOWARD MOTION-BASED RECOGNITION By

Recovering a hierarchical motion description of a long image sequence is one way to recognize objects and their motions. Intermediate-level and high-level motion analysis, i.e., recognizing a coordinated sequence of events such as walking and throwing, has been formulated previously as a process that follows high-level object recognition. This thesis develops an alternative approach to intermed...

متن کامل

Three - Dimensional Shape Representation fromCurvature Dependent Surface

This paper presents a novel approach to surface representation based on its di erential deformations, and is an extension to surfaces of the \shape from deformation" framework for curves [31]. A representation of 3D shape for recognition must capture the multidimensional nature of shape, as well as the notion of a hierarchy of scale. A range of deformations can capture both: while constant defo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Perception

دوره 33 12  شماره 

صفحات  -

تاریخ انتشار 2004