ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Establishing point correspondences between images is a key step for 3D-shape computation. Nevertheless, shape extraction and point correspondence are treated, usually, as two diffe...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Abstract. We introduce a new methodology for radiometric reconstruction from multiple images. It opens new possibilities because it allows simultaneous recovery of varying unknown ...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
A new feature detection technique is presented that utilises local radial symmetry to identify regions of interest within a scene. This transform is significantly faster than exist...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Recent results on sparse coding and independent component analysis suggest that human vision first represents a visual image by a linear superposition of a relatively small number ...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Many approaches have been proposed to locate faces in an image. There are, however, two problems in previous facial shape models using feature points. First, the dimension of the s...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approa...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Abstract. This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspo...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...