Specular motion and 3D shape estimation.

Download

index.pdf

Date

2017-06-01

Author

Dövencioğlu, Nahide Dicle
Barla, P
Doerschner, K

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

151
views

79
downloads

Dynamic visual information facilitates three-dimensional shape recognition. It is still unclear, however, whether the motion information generated by moving specularities across a surface is congruent to that available from optic flow produced by a matte-textured shape. Whereas the latter is directly linked to the first-order properties of the shape and its motion relative to the observer, the specular flow, the image flow generated by a specular object, is less sensitive to the object's motion and is tightly related to second-order properties of the shape. We therefore hypothesize that the perceived bumpiness (a perceptual attribute related to curvature magnitude) is more stable to changes in the type of motion in specular objects compared with their matte-textured counterparts. Results from two twointerval forced-choice experiments in which observers judged the perceived bumpiness of perturbed spherelike objects support this idea and provide an additional layer of evidence for the capacity of the visual system to exploit image information for shape inference.

Subject Keywords

Surface reflectance and 3D shape, Structure from motion, Shape from specular

URI

https://hdl.handle.net/11511/41765

Journal

Journal of vision

DOI

https://doi.org/10.1167/17.6.3

Collections

Department of Psychology, Article

Suggestions

OpenMETU
Core

Effects of surface reflectance on local second order shape estimation in dynamic scenes. Dövencioğlu, Nahide Dicle; Ben-Shahar, O; Doerschner, K (2015-10-01) In dynamic scenes, relative motion between the object, the observer, and/or the environment projects as dynamic visual information onto the retina (optic flow) that facilitates 3D shape perception. When the object is diffusely reflective, e.g. a matte painted surface, this optic flow is directly linked to object shape, a property found at the foundations of most traditional shape-from-motion (SfM) schemes. When the object is specular, the corresponding specular flow is related to shape curvature, a regime c...
Coarse-to-fine surface reconstruction from silhouettes and range data using mesh deformation Sahillioğlu, Yusuf; Yemez, Y. (2010-03-01) We present a coarse-to-fine surface reconstruction method based on mesh deformation to build watertight surface models of complex objects from their silhouettes and range data. The deformable mesh, which initially represents the object visual hull, is iteratively displaced towards the triangulated range surface using the line-of-sight information. Each iteration of the deformation algorithm involves smoothing and restructuring operations to regularize the surface evolution process. We define a non-shrinking...
Extraction of 3D transform and scale invariant patches from range scans Akagunduz, Erdern; Ulusoy, İlkay (2007-06-22) An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links betw...
3D object representation using transform and scale invariant 3D features AKAGÜNDÜZ, Erdem; Ulusoy, İlkay (2007-10-21) An algorithm is proposed for 3D object representation using generic 3D features which are transformation and scale invariant. Descriptive 3D features and their relations are used to construct a graphical model for the object which is later trained and then used for detection purposes. Descriptive 3D features are the fundamental structures which are extracted from the surface of the 3D scanner output. This surface is described by mean and Gaussian curvature values at every data point at various scales and a ...
Edge strength functions as shape priors in image segmentation Erdem, Erkut; Erdem, Aykut; Tarı, Zehra Sibel (2005-12-01) Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and statistical formulation of Leventon, Grimson and Faugeras [6], we present a new image segmentation method which accounts for prior shape information. Our method depends on Ambrosio-Tortorelli approximation of Mumford-Shah functional. The prior shape is represented by a by-product of this functional, a smooth edge indicator functi...

Citation Formats

N. D. Dövencioğlu, P. Barla, and K. Doerschner, “Specular motion and 3D shape estimation.,” Journal of vision, pp. 3–3, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41765.