In contrast to the traditional approach, the recognition problem is formulated as one of
matching appearance rather than shape. For any given vision task, all possible appearance …

We address the problem of automatically learning object models for recognition and pose
estimation. In contrast to the traditional approach, we formulate the recognition problem as …

We address the problem of automatically learning object models for recognition and pose
estimation. In contrast to the traditional approach, we formulate the recognition problem as …

The problem of automatically learning object models for recognition and pose estimation is
addressed. In contrast to the traditional approach, the recognition problem is formulated as …

Appearance matching was recently demonstrated as a robust and efficient approach to 3D
object recognition and pose estimation. Each object is represented as a continuous …

In contrast to the traditional approach, visual recognition is formulated as one of matching
appearance rather than shape. For any given robot vision task, all possible appearance …

We address the problem of automatically learning object models for recognition and pose
estimation. In contrast to the traditional approach, the recognition problem is formulated here …

Presents a novel approach to the problem of illumination planning for robust object
recognition in structured environments. Given a set of objects, the goal is to determine the …

This paper describes a method for recognizing partially occluded objects under different
levels of illumination brightness by using the eigenspace analysis. In our previous work, we …

Realistic representation of objects requires models which can synthesize the image of an
object under all possible viewing conditions. We propose to learn these models from …