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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICCV
1999
IEEE
15 years 11 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
NIPS
2000
14 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
IWCIA
2009
Springer
15 years 4 months ago
Signatures of Combinatorial Maps
Abstract. In this paper, we address the problem of computing a canonical representation of an n-dimensional combinatorial map. To do so, we define two combinatorial map signatures...
Stéphane Gosselin, Guillaume Damiand, Chris...
ICCV
2007
IEEE
15 years 4 months ago
Latent Model Clustering and Applications to Visual Recognition
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Simon Polak, Amnon Shashua
3DIM
2003
IEEE
15 years 1 months ago
Efficient Reconstruction of Indoor Scenes with Color
In this paper we present an efficient and general approach to computing and integrating 3D distance fields directly from multiple range images. We compute normal and confidence va...
Rui Wang 0003, David P. Luebke