Subspace Regression : Predicting a Subspace from One Sample

@inproceedings{Kim2010SubspaceR,
  title={Subspace Regression : Predicting a Subspace from One Sample},
  author={Minyoung Kim and Zengyin Zhang and Fernando De la Torre and Wende Zhang},
  year={2010}
}
Subspace methods have been extensively used to solve a variety of problems in computer vision including object detection, recognition, and tracking. Typically, subspaces are learned from a training set that contains different configurations of a particular object (e.g., variations on shape or appearance). However, in some situations it is not possible to… CONTINUE READING