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» Highly Discriminative Invariant FEatures for Image Matching
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CVPR
2006
IEEE
16 years 4 months ago
Multi-Resolution Spin-Images
Johnson and Hebert's spin-images have been applied to the registration of range images and object recognition with much success because they are rotation, scale, and pose inv...
H. Quynh Dinh, Steven Kropac
ICCV
2007
IEEE
16 years 3 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
NIPS
2004
15 years 3 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ICIP
2007
IEEE
16 years 3 months ago
On 3D Partial Matching of Meaningful Parts
In this paper a method suitable for partial matching between 3D objects is presented. The 3D objects are firstly segmented into meaningful parts extending a method which is based ...
Athanasios Mademlis, Petros Daras, Dimitrios Tzova...
SSPR
2004
Springer
15 years 7 months ago
Combining Classifier for Face Identification at Unknown Views with a Single Model Image
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
Tae-Kyun Kim, Josef Kittler