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For improving environmental visual perception of indoor robots more accurate and faster, a new model based on image multi-feature fusion is proposed. The hierarchical match mode is used to match real-time collected images of indoor robot with various multi-directional and multi-state images in a database. After establishing a database of 1000 images, average accuracy, average recall ratio and average...
In this paper we propose a new algorithm for the least square fitting of ellipses from scattered data. Originally based on the one proposed by Fitzgibbon et Al in 1999, our procedure is able to overcome the numerical instability of that algorithm. We test our approach versus the latter and another approach with different ellipses. Then, we present and discuss our results.
In this work we propose a method for converting triangular meshes into LEGO?? bricks through a voxel representation of boundary meshes. We present a novel voxelization approach that uses points sampled from a surface model to define which cubes (voxels) and their associated colors will compose the model. All steps of the algorithm were implemented on the GPU and real-time performance was achieved...
To make a spectral representation of color practicable for volume rendering, a new low-dimensional subspace method is used to act as the carrier of spectral information. With that model, spectral light material interaction can be integrated into existing volume rendering methods at almost no penalty. In addition, slow rendering methods can profit from the new technique of postillumination-generating...
Tracking objects or humans using background subtraction is commonly used both in indoor and outdoor environment. But this method may not produce quality results due to illumination change, shadows, and occlusion occurred in indoor or outdoor environments. Song and Nevatia suggested a simultaneous tracking of face and body for human tracking in an indoor environment using Adaboost face detection and...
This paper presents algorithms and a prototype system for hand tracking and hand posture recognition. Hand postures are represented in terms of hierarchies of multi-scale colour image features at different scales, with qualitative inter-relations in terms of scale, position and orientation. In each image, detection of multi-scale colour features is performed. Hand states are then simultaneously detected...
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