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» Model Based Object Recognition by Robust Information Fusion
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ICIP
2007
IEEE
15 years 10 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
16 years 5 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
16 years 6 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
15 years 5 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
14 years 8 months 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