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» A comparative study of two object recognition methods
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135
Voted
3DPVT
2006
IEEE
247views Visualization» more  3DPVT 2006»
15 years 7 months ago
Contour-Based Object Detection in Range Images
This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
Stefan Stiene, Kai Lingemann, Andreas Nüchter...
163
Voted
ISVC
2010
Springer
15 years 1 months ago
Object Category Classification Using Occluding Contours
Abstract. Occluding contour (OC) plays important roles in many computer vision tasks. The study of using OC for visual inference tasks is however limited, partially due to the lack...
Jin Sun, Christopher Thorpe, Nianhua Xie, Jingyi Y...
150
Voted
NIPS
2004
15 years 5 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
150
Voted
ACSW
2004
15 years 5 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang
VLDB
1992
ACM
83views Database» more  VLDB 1992»
15 years 7 months ago
A Performance Study of Alternative Object Faulting and Pointer Swizzling Strategies
This paper presents a portable, efficient method for accessing memory resident persistent objects in virtual memory in the context of the E programming language. Under the approac...
Seth J. White, David J. DeWitt