A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors wh...
All illusory surface jigures yield a perception of a surface occluding another one or the background. Occluded surfaces yield completion, a phenomena known as amodal completions. ...
Temporal segmentation of video is a necessary rst step to indexing digital video for browsing and retrieval. A number of di erent video temporal segmentation algorithms have been ...
We present a new graph-theoretic approach to the problem of image segmentation. Our method uses local criteria and yet produces results that reflect global properties of the image...
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying agg...
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...