ALIPR / ACQUINE / SIMPLIcity / ALIP: Object Concept Recognition / Content Based Image Retrieval / Annotation / Search (1995- )
This content-based image search and automatic learning-based linguistic indexing research was started in 1995 when Wang developed an art image retrieval system for the Stanford University Libraries. If you are interested in using our technologies, please contact James Z. Wang and Jia Li. Inspired by the fact that the Riemann Hypothesis remains as one of the most important unsolved problems in math
物体検出/追跡研究者のための画像アノテーションツール ObjectMarker - takminの書きっぱなし備忘録 @はてなブログ
コンピュータビジョンで物体検出や追跡を行う場合、当然のことながら学習データというのをある程度用意しなくてはいけません。具体例としてはOpenCVのHaarClassifierCascadeで物体検出するための検出器を訓練するとき、訓練画像をたくさん集めて、その対象となる物体がその画像のどこにあるのかを記述したテキストファイルを作らなくちゃいけません。 詳しくは、ここら辺を参考にしてください。 http://gihyo.jp/dev/feature/01/opencv/0004 また、作った物体検出器やトラッキング用プログラムが正しく位置を検出しているかを評価するために、あらかじめ正解データというのを作っておいてそれに対して評価をする必要があります。この正解データというのがやっぱり画像を集めて、それに対してその物体の位置というのをいちいち人間が手動で調べて、なんらかの外部ファイルとしてその座
CV Datasets on the web
If you have additions or changes, send an e-mail (remove the "nospam"). This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. Participate in Reproducib
LFW Face Database : Main
On October 29th at ICCV 2019 in Seoul, the creators of LFW were honored with the Mark Everingham Award for service to the Computer Vision Community. Thanks to all that have participated in making LFW a success! New results page: We have recently updated and changed the format and content of our results page. Please refer to the new technical report for details of the changes. Labeled Faces in the
Dense multi-view stereo test images
Acknowledgements Many thanks to Engin Tola for the web interface and to all who provided their results on these datasets. The original results are published in: C. Strecha, W. von Hansen, L. Van Gool, P. Fua, U. Thoennessen On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery CVPR 2008 [pdf] When using the datasets in any publication, please refer to them with the e
H3D
H3D Dataset Lubomir Bourdev and Jitendra Malik Updated June 17, 2011 Download H3D version 1.01 (325MB) H3D (Humans in 3D) is a dataset of annotated people. The annotations include: The joints and other keypoints (eyes, ears, nose, shoulders, elbows, wrists, hips, knees and ankles) The 3D pose inferred from the keypoints. Visibility boolean for each keypoint Region annotations (upper clothes, lower
Cambridge University Engineering Department - Qi Pan
ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition [Home] [2009 BMVC Paper (6.3MB)] [BibTeX] Off-line model reconstruction relies on an image collection phase and a slow reconstruction phase, requiring a long time to verify a model obtained from an image sequence is acceptable. We propose a new model acquisition system, called ProFORMA, which generates a 3D model on-line as the
Handheld Augmented Reality
Projects Social Augmented Reality Information Presentation Real-Time Self Localization Structural Modelling AR Graphics AR Navigation Augmented Reality Games Past Projects Technology Hybrid SLAM Panorama SLAM Planar SLAM Model-Based Tracking Marker-Based Tracking Software Libraries Studierstube ES Studierstube Tracker Muddleware ARToolkitPlus More Videos Media/Press Team Publications Collaboration
http://www.cs.washington.edu/homes/furukawa/
Yasutaka Furukawa Post-doctoral Research Associate Department of Computer Science and Engineering University of Washington Box 352350, Seattle, Washington 98195-2350, USA Office: Allen Center 276 Email: click here Phone: +1-206-543-3069 Fax: +1-206-543-2969 I work for Google now, while I am still involved in some academic projects. I hope to provide exciting products to people in the worl
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