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» Model Based Object Recognition by Robust Information Fusion
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ICIP
2007
IEEE
14 years 2 months ago
Dual-Layer Visual Vocabulary Tree Hypotheses for Object Recognition
This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesi...
Sandra Ober, Martin Winter, Clemens Arth, Horst Bi...
ICPR
2004
IEEE
14 years 9 months ago
Registration of an Uncalibrated Image Pair to a 3D Surface Model
The following data fusion problem is considered: Given a 3D geometric model of an object and two uncalibrated images of the same object, and assuming that the object surface is te...
Dmitry Chetverikov, Zsolt Jankó
CVPR
2005
IEEE
14 years 10 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
IJCAI
2003
13 years 10 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori
ICASSP
2011
IEEE
13 years 9 days ago
Delta-spectral cepstral coefficients for robust speech recognition
Almost all current automatic speech recognition (ASR) systems conventionally append delta and double-delta cepstral features to static cepstral features. In this work we describe ...
Kshitiz Kumar, Chanwoo Kim, Richard M. Stern