In this paper we discuss and compare di!erent approaches to appearance-based object recognition and pose estimation. Images are considered as high-dimensional feature vectors which are transformed in various manners: we use di!erent types of non-linear image-to-image transforms composed with linear
Appearance-based active object recognition
โ Scribed by H. Borotschnig; L. Paletta; M. Prantl; A. Pinz
- Book ID
- 114198006
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 747 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0262-8856
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper we consider the problem of 3D object recognition and the role that perceptual grouping processes must play. In particular, we argue that reliance on a single level of perceptual grouping is inadequate, since it is responsible for the specific weaknesses of several well-known recognitio
In this paper, a new appearance-based 3D object classification method is proposed based on the Hidden Markov Model (HMM) approach. Hidden Markov Models are a widely used methodology for sequential data modelling, of growing importance in the last years. In the proposed approach, each view is subdivi