Sciweavers

BMVC
2010
13 years 9 months ago
Implicit Shape Kernel for Discriminative Learning of the Hough Transform Detector
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
Yimeng Zhang, Tsuhan Chen
BMVC
2010
13 years 9 months ago
Towards On-Line Intensity-Based Surface Recovery from Monocular Images
We present a novel method for vision-based recovery of three-dimensional structures through simultaneous model reconstruction and camera position tracking from monocular images. O...
Oliver Ruepp, Darius Burschka, Robert Bauernschmit...
BMVC
2010
13 years 9 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
BMVC
2010
13 years 9 months ago
Robust 3D Face Recognition by Using Shape Filtering
Achieving high accuracy in the presence of expression variation remains one of the most challenging aspects of 3D face recognition. In this paper, we propose a novel recognition a...
Liang Cai, Feipeng Da
BMVC
2010
13 years 9 months ago
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla
BMVC
2010
13 years 9 months ago
Generalized Descriptor Compression for Storage and Matching
Smarter phones have made handheld computer vision a reality, but limited bandwidth, storage space and processing power prevent mobile phones from leveraging the full body of exist...
Matthew Johnson
BMVC
2010
13 years 9 months ago
Additive Update Predictors in Active Appearance Models
The Active Appearance Model (AAM) provides an efficient method for localizing objects that vary in both shape and texture, and uses a linear regressor to predict updates to model ...
Philip A. Tresadern, Patrick Sauer, Timothy F. Coo...
BMVC
2010
13 years 9 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
BMVC
2010
13 years 9 months ago
Trans Media Relevance Feedback for Image Autoannotation
Automatic image annotation is an important tool for keyword-based image retrieval, providing a textual index for non-annotated images. Many image auto annotation methods are based...
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka