ECCV
1998
Springer
15 years 1 months ago
1998
Springer
This paper presents a negative result: current machine colour constancy algorithms are not good enough for colour-based object recognition. This result has surprised us since we ha...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. We show that we can e ectively t arbitrarily complex animation models to noisy image data. Our approach is based on leastsquares adjustment using of a set of progressivel...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
In this contribution, we are concerned with the detection and re ned localization of 3D point landmarks. We propose multi-step di erential procedures for subvoxel localization of 3...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Active cameras provide a mobile robot with the capability to fixate and track features over a wide field of view. However, their use emphasises serial attention focussing on a succ...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. In this paper we describe a method for estimating the internal parameters of the left and right cameras associated with a stereo image pair. The stereo pair has known epi...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
?We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training ...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. Robust techniques are developed for determining structure from motion in the uncalibrated case. The structure recovery is based on previous work [7] in which it was shown...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...