TY - GEN
T1 - Perceptual surface roughness classification of 3D textures using support vector machines
AU - McDaniel, Troy
AU - Panchanathan, Sethuraman
PY - 2007
Y1 - 2007
N2 - Perceptual surface roughness classification describes how a surface's texture feels haptically in terms of perceptual categories such as smooth, rough, bumpy, etc. Computer vision and pattern recognition algorithms which estimate a surface's perceptual roughness have a wide range of application areas including robotics, assistive devices, telesurgery and teleperception. In this paper, we propose a novel approach to perceptual surface roughness classification that, unlike previous approaches, is designed to handle multiple roughness categories within the same image. The steps of our approach include (1) texton extraction and classification using a multi-class, non-linear Support Vector Machine; (2) segmentation using the Iterated Conditional Modes algorithm; and (3) overall perceptual roughness classification using a Nearest Neighbor classifier. The proposed approach is evaluated using visio-haptic subjective measures of roughness on images of the 3D texture of real world objects.
AB - Perceptual surface roughness classification describes how a surface's texture feels haptically in terms of perceptual categories such as smooth, rough, bumpy, etc. Computer vision and pattern recognition algorithms which estimate a surface's perceptual roughness have a wide range of application areas including robotics, assistive devices, telesurgery and teleperception. In this paper, we propose a novel approach to perceptual surface roughness classification that, unlike previous approaches, is designed to handle multiple roughness categories within the same image. The steps of our approach include (1) texton extraction and classification using a multi-class, non-linear Support Vector Machine; (2) segmentation using the Iterated Conditional Modes algorithm; and (3) overall perceptual roughness classification using a Nearest Neighbor classifier. The proposed approach is evaluated using visio-haptic subjective measures of roughness on images of the 3D texture of real world objects.
KW - Haptic user interfaces
KW - Image texture analysis
KW - Visiohaptics
UR - http://www.scopus.com/inward/record.url?scp=48049100943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48049100943&partnerID=8YFLogxK
U2 - 10.1109/HAVE.2007.4371605
DO - 10.1109/HAVE.2007.4371605
M3 - Conference contribution
AN - SCOPUS:48049100943
SN - 9781424415717
T3 - HAVE 2007 - The 6th IEEE International Workshop on Haptic, Audio and Visual Environments and Games, Proceedings
SP - 154
EP - 159
BT - HAVE 2007 - The 6th IEEE International Workshop on Haptic, Audio and Visual Environments and Games, Proceedings
T2 - 6th IEEE International Workshop on Haptic, Audio and Visual Environments and Games, HAVE 2007
Y2 - 12 October 2007 through 14 October 2007
ER -