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ICCV
2005
IEEE
14 years 11 months ago
Regular Polygon Detection
Nick Barnes, Gareth Loy, David Shaw, Antonio Roble...
ICCV
2005
IEEE
14 years 11 months ago
Fundamental Matrix for Cameras with Radial Distortion
When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones, it is not practical, if not impossible to off-line calibrate the radial distor...
João P. Barreto, Kostas Daniilidis
ICCV
2005
IEEE
14 years 11 months ago
Incorporating Visual Knowledge Representation in Stereo Reconstruction
In this paper, we present a two-layer generative model that incorporates generic middle-level visual knowledge for dense stereo reconstruction. The visual knowledge is represented...
Adrian Barbu, Song Chun Zhu
ICCV
2005
IEEE
14 years 11 months ago
Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation
A video containing multiple objects in rotational and translational motion is analyzed through a combination of spatial and frequency domain representations. It is argued that the...
Alexia Briassouli, Narendra Ahuja
ICCV
2005
IEEE
14 years 11 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ICCV
2005
IEEE
14 years 11 months ago
Quasiconvex Optimization for Robust Geometric Reconstruction
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
Qifa Ke, Takeo Kanade
ICCV
2005
IEEE
14 years 11 months ago
Efficient Visual Event Detection Using Volumetric Features
Yan Ke, Rahul Sukthankar, Martial Hebert
ICCV
2005
IEEE
14 years 11 months ago
Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences
For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. But in the case of large cultural heritage objects, there are some difficultie...
Atsuhiko Banno, Katsushi Ikeuchi
ICCV
2005
IEEE
14 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah