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Titlebook: Computer Vision - ACCV 2006; 7th Asian Conference P. J. Narayanan,Shree K. Nayar,Heung-Yeung Shum Conference proceedings 2006 Springer-Verl

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楼主: 女性
发表于 2025-3-26 22:37:00 | 显示全部楼层
Recognize Multi-people Interaction Activity by PCA-HMMsof the model parameters while retains most of the original variability, and thus avoids overflowing and weakens the constraints on observations in conventional HMMs. The experimental results proved that the modified HMMs are effective solutions for multi-people interactive activity recognition.
发表于 2025-3-27 04:33:04 | 显示全部楼层
Object Recognition Through the Principal Component Analysis of Spatial Relationship Amongst Lineste that the proposed approach is efficient, invariant to linear transformations and capable of learning. To substantiate the success of the proposed model, a comparative study is performed with Murase and Nayar approach.
发表于 2025-3-27 07:52:40 | 显示全部楼层
Plane-Based Calibration and Auto-calibration of a Fish-Eye Camerae-point minimal solver for the purpose of distortion correction. Our method is applicable to both known planar scene and unknown planar scene. The later case corresponds to an auto-calibration version of the fish-eye camera calibration algorithm.
发表于 2025-3-27 12:59:34 | 显示全部楼层
Augmented Stereo Panoramashat he is interested in. With augmented stereo panoramas, the user can enjoy more persuasive interaction with better depth perception. To our best knowledge, this paper is the first work to integrate stereoscopic image-based scenes with stereo object movies.
发表于 2025-3-27 16:02:49 | 显示全部楼层
The Design of an Extendible Graph Editorthe 3D model, while pixel intensity data are considered within corresponding region windows on the image. Experiments on aligning 3D car models in cluttered scenes using this new framework demonstrate substantial improvement as compared to the original pixel-wise mutual information approach.
发表于 2025-3-27 18:13:04 | 显示全部楼层
发表于 2025-3-28 00:57:40 | 显示全部楼层
https://doi.org/10.1007/BFb0019371L face database are made. Experimental results show that the performance of the proposed algorithm is superior to those of some previous methods in feature extraction. Moreover, extraction of image features using the proposed algorithm needs less time than that of classical linear discriminant analysis.
发表于 2025-3-28 05:05:23 | 显示全部楼层
发表于 2025-3-28 06:20:32 | 显示全部楼层
Alignment of 3D Models to Images Using Region-Based Mutual Information and Neighborhood Extended Gauthe 3D model, while pixel intensity data are considered within corresponding region windows on the image. Experiments on aligning 3D car models in cluttered scenes using this new framework demonstrate substantial improvement as compared to the original pixel-wise mutual information approach.
发表于 2025-3-28 12:52:07 | 显示全部楼层
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