ECCV
2006
Springer
14 years 3 months ago
2006
Springer
When a manipulator interacts with objects with poorly damped oscillatory modes, undesired oscillations and bouncing may result. In this paper, we present a method for observer-base...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. We propose an algorithm for recursive estimation of structure and motion in rigid body perspective dynamic systems, based on the novel concept of continuous-differential ...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
Three-dimensional structure information can be estimated from two-dimensional images using recursive estimation methods. This paper investigates possibilities to improve structure...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
The formulation of trace quotient is shared by many computer vision problems; however, it was conventionally approximated by an essentially different formulation of quotient trace,...
ECCV
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...