Local Appearance for Robust Object Recognition

  title={Local Appearance for Robust Object Recognition},
  author={Deeptiman Jugessur and Gregory Dudek},
We present an approach to appearance-based object recognition using single camera images. Our approach is based on using an attention mechanism to obtain visual features that are generic, robust and informative. The features themselves are recognized using principal components in the frequency domain. In this paper we show how the visual characteristics of only a small number of such features can be used for appearance-based object recognition that is not confounded by planar rotations or… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 22 extracted citations


Publications referenced by this paper.
Showing 1-10 of 11 references


K. Ohba, K. Ikeuchi
uniqueness, and reliability of eigen-windows for robust recognition of partially occluded object s," IEEE Pattern Analysis and Machine Intelligence, vol. 19, no. 9, pp. 1043{1048 • 1997
View 1 Excerpt

Local Grayvalue Invariants for Image Retrieval

IEEE Trans. Pattern Anal. Mach. Intell. • 1997
View 1 Excerpt

Visual learning and recognition of 3-d objects from appearance

International Journal of Computer Vision • 1995
View 1 Excerpt

and Y

D. Reisfeld, H. Wolfson
Yeshurun, \Context free attentional operators: the generalized symmetry transform," International Journal Of Computer Vision, vol. 14, pp. 119{ 130 • 1995
View 2 Excerpts

Triesman , \ Perceptual grouping and attention in visual search for features and objects

Journal of Experimental Psychology : Human Perception and Performance • 1994

Eigenfaces for Recognition

Journal of Cognitive Neuroscience • 1991
View 2 Excerpts

Perceptual grouping and attention in visual search for features and for objects.

Journal of experimental psychology. Human perception and performance • 1982
View 1 Excerpt

Similar Papers

Loading similar papers…