BMVC
2010
13 years 9 months ago
2010
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
BMVC
2010
13 years 9 months ago
2010
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
BMVC
2010
13 years 9 months ago
2010
Simultaneous localization and mapping (SLAM) is a basic prerequisite in autonomous mobile robotics. Most existing visual SLAM approaches either assume a static environment, or sim...
BMVC
2010
13 years 9 months ago
2010
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
BMVC
2010
13 years 9 months ago
2010
This paper studies image segmentation based on the minimum description length (MDL) functional combining spatial regularization with a penality for the number of distinct segments...
BMVC
2010
13 years 9 months ago
2010
It is well known that, due to illumination effects and the registration/alignment problem, it does not make sense to compare the "values" of two single-pixels for face r...
BMVC
2010
13 years 9 months ago
2010
Hand segmentation is the basis of many vision-based hand gesture applications in human computer interaction (HCI). This paper proposes a novel method of skin color weighted dispar...
BMVC
2010
13 years 9 months ago
2010
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by finding a reference shape and global rigid transformations given p...
BMVC
2010
13 years 9 months ago
2010
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
BMVC
2010
13 years 9 months ago
2010
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...