ACCV
2009
Springer
13 years 11 months ago
2009
Springer
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents a new approach to synthesize face images under different pose changes given a single input image. The approach
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
We propose a new robust focal length estimation method in multi-view structure from motion from unordered data sets, e.g. downloaded from the Flickr database, where jpeg-exif heade...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...