CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Active Appearance Models (AAMs) typically only use 50-100 mesh vertices because they are usually constructed from a set of training images with the vertices hand-labeled on them. ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper explores how shape, motion, and lighting interact in the case of a two-frame motion sequence. We consider a rigid object with Lambertian reflectance properties undergoi...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we propose an image super-resolution approach using a novel generic image prior ? gradient profile prior, which is a parametric prior describing the shape and the s...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a method to fully automatically fit videos in 16:9 format on 4:3 screens and vice versa. It can be applied to arbitrary aspect ratios and can be used to make videos sui...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose a new method for sampling camera response functions: temporally mixing two uncalibrated irradiances within a single camera exposure. Calibration methods rely on some kn...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we address the pair-activity classification problem, which explores the relationship between two active objects based on their motion information. Our contributions...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input video is captured by...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we address the issue of transducing the object cutout model from an example image to novel image instances. We observe that although object and background are very ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...