403 search results - page 13 / 81 » Supervised Texture Detection in Images |
NIPS
2008
13 years 11 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
CVPR
2009
IEEE
14 years 4 months ago
2009
IEEE
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
ICIP
2006
IEEE
14 years 11 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
ISBI
2002
IEEE
14 years 10 months ago
2002
IEEE
This paper focuses on the discussion of using thermal infrared imaging (TIR) in early detection of breast cancer. We use the term thermal texture maps to represent the images captu...
SCALESPACE
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...