✦ LIBER ✦

Using curvature information in haptic shape perception of 3D objects

✍ Scribed by Bernard J. van der Horst; Astrid M. L. Kappers

Publisher: Springer-Verlag
Year: 2008
Tongue: English
Weight: 417 KB
Volume: 190
Category: Article
ISSN: 0014-4819
DOI: 10.1007/s00221-008-1478-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Haptic perception disambiguates visual p

Haptic perception disambiguates visual perception of 3D shape

✍ Maarten W. A. Wijntjes; Robert Volcic; Sylvia C. Pont; Jan J. Koenderink; Astrid 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 256 KB

3D object recognition based on curvature

3D object recognition based on curvature information of planar views

✍ C. de Trazegnies; C. Urdiales; A. Bandera; F. Sandoval 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 572 KB

In this paper, a 3D object recognition algorithm is proposed. Objects are recognized by studying planar images corresponding to a sequence of views. Planar shape contours are represented by their adaptively calculated curvature functions, which are decomposed in the Fourier domain as a linear combin

Global shape recognition of 3-D objects

Global shape recognition of 3-D objects using a differential library storage

✍ Frank P Kuhl 📂 Article 📅 1983 🏛 Elsevier Science ⚖ 78 KB

A heuristic reconstruction algorithm is described by which binary matrices can be produced from their two orthogonal projections. It is necessary for proper reconstruction that the binary pattern corresponding to the binary matrix be x-and y-directionally connected. By this method a large class of b

3D image segmentation of deformable obje

3D image segmentation of deformable objects with joint shape-intensity prior models using level sets

✍ Jing Yang; James S. Duncan 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 662 KB

We propose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels, along with information derived from the input image, is employed. Our method is motivated by the observation that the shape of an object an

Analysis of 3D shape and strain distribu

Analysis of 3D shape and strain distributions of a deformable object using stereo vision

✍ Yang, I. H. 📂 Article 📅 1994 🏛 Springer-Verlag ⚖ 578 KB

PCA-based method for 3D shape recovery o

PCA-based method for 3D shape recovery of microscopic objects from image focus using discrete cosine transform

✍ Muhammad Tariq Mahmood; Wook-Jin Choi; Tae-Sun Choi 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 778 KB

## Abstract This article introduces a new algorithm for shape from focus (SFF) based on discrete cosine transform (DCT) and principal component analysis (PCA). DCT is applied on a small 3D neighborhood for each pixel in the image volume. Instead of summing all focus values in a window, AC parts of