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	Face Forgery Detection by 3D Decomposition and Composition Search 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8342-8357 作者: Zhu, Xiangyu; Fei, Hongyan; Zhang, Bin; Zhang, Tianshuo; Zhang, Xiaoyu \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/11/17 Faces Forgery Three-dimensional displays Face recognition Feature extraction Lighting Computer architecture Composition search differentiable search fake face forgery detection 3D decomposition 3D face model
	Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 20 作者: Chen, Zerui; Huang, Yan \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/12/28 Monocular 3D human pose estimation Heterogeneous human body parts Neural architecture search
	3D model retrieval using constructive-learning for cross-model correlation 期刊论文 OAI收割 Neurocomputing, 2018, 卷号: 275, 页码: 2019-01-09 作者: \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/09/17 3D model retrieval Cross-model correlation Constructive-learning 3-d object retrieval zernike moments hyper-graphs recognition search descriptor databases images views 2-d Computer Science
	iDrug: a web-accessible and interactive drug discovery and design platform 期刊论文 OAI收割 JOURNAL OF CHEMINFORMATICS, 2014, 卷号: 6 作者: Wang, Xia; Chen, Haipeng \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/04/09 Online Drug Design Platform Cavity Detection Pharmacophore Search 3d Similarity Calculation Target Prediction
	Mobile Landmark Search with 3D Models 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2014, 卷号: 16, 期号: 3, 页码: 623-636 作者: Min, Weiqing; Xu, Changsheng; Xu, Min; Xiao, Xian; Bao, Bing-Kun 收藏 \| 浏览/下载：36/0 \| 提交时间：2015/08/12 3D reconstruction 3D to 2D matching content-based image retrieval mobile landmark search
	Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE) 会议论文 OAI收割 5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012, Tianjin, China 作者: 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 One of the main components of the computer vision is 3D reconstruction. Extracts and the match based on two-dimensional picture characteristic point is the 3D reconstruction technology core. Taking binocular stereoscopic vision theory as a foundation through extracts the characteristics of SURF based on the multi-scale analysis this feature has specific scale reproducibility put the epipolar constraints and disparity constraints as conditions judgement to specific screening it is greatly reduced the search range. The experiment use the matching method for three different actual scenes the results shows that the method can enhance the image matching speed and precision and can get more precise dense parallax used for reconstruction complete scene. 2012 IEEE.
	Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China 作者: Wang X.; Wang X.; Wang X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model can detect the features of the teeth image effectively. In this approach first search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third assign one or more orientations to each keypoint location based on local image gradient directions. Last measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods this method can detect the features of the teeth model effectively and offer some available parameters for 3D reconstruction of the teeth model. the authors.
	3DFS: 3D flexible searching system for lead discovery - New version 1.2 期刊论文 OAI收割 JOURNAL OF MOLECULAR MODELING, 1999, 卷号: 5, 期号: 11, 页码: 231-251 作者: Wang, T; Zhou, JJ 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/11/15 pharmacophore 3D search conformational search hydrophobe recognition