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Abstract. We propose an approach for view-invariant object detection directly in 3D with following properties: (i) The detection is based on matching of 3D ...
We propose an approach for view-invariant object detection directly in 3D with following properties: (i) The detection is based on matching of 3D contours ...
The proposed approach for view-invariant object detection directly in 3D with following properties significantly outperforms the state-of-the-art 2D ...
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work fo- cuses on object-centered representations ...
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations ...
This paper addresses view-invariant object detection and pose estimation from a single image, and revisits the viewer-centered framework, and uses image ...
The systems and concepts described in this paper document the evolution of the geometric invariance approach to object recognition over the last five years.
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations ...
Abstract—We present a simple and powerful method for planar object detection which is robust against changes in camera positions using image warping.
Contour or silhouette based object recognition in range images is view dependent. Hence, view invariant recognition is reached by generating several object ...