ACCV
2009
Springer
14 years 9 months ago
2009
Springer
ACCV
2009
Springer
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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
14 years 9 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. ...