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Hand pose recognition has received increasing attention in an area of human-computer interaction. With the recent spread of many low-cost three-dimensional (3D) cameras, research into understanding more natural gestures has increased. In this study, the authors present a method for hand part classification and joint estimation from a single depth image. They apply random decision forests (RDFs) for...
In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to. In this study, the authors describe a novel feature coding method for head pose estimation. The widely-used sparse coding (SC) method encodes a test sample using a sparse linear combination of training samples. However, it does not consider...
In pattern recognition, the usage of appropriate similarity measure is crucial for acquiring robust performance. In this paper, we present two similarity measures, which compute a similarity between two matrices, based on the temporal feature variation and sequence length difference, respectively. Especially, the matrix object used in this paper has unique characteristic. Each row and column has different...
Weeds are among the most significant and costly environmental threats in Australian agriculture. The distribution, size, density and species of weeds are often heterogeneous in cropping lands. Instead of uniformly spray the same type of herbicide to a whole farm land, using weed maps to do selective spray can reduce herbicide usage and therefore can reduce the serious problems of herbicide resistance,...
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