This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in monocular aerial Images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial Images. Our experiments demonstrate that ground-level semantic information (wall estimates) allows to focus the segmentation of the aerial Image to find buildings and produce a ground-level semantic map that covers a larger area than can be built using the onboard sensors.
标签： simultaneously difficulties limitation addresses
上传时间： 2014-06-11
上传用户：waitingfy
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved Image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
标签： multimedia Semantic analysis research
上传时间： 2016-11-24
上传用户：虫虫虫虫虫虫
We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite Image when a user types in nouns, such as “boat” and “sand.” The artist can optionally design an intended Image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated Image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific Images with minimal human effort, and (2) a combined algorithm for automatically building an Image library with semantic annotations from any photo collection.
标签： substantially photograph technique propose
上传时间： 2016-11-24
上传用户：三人用菜
Range imaging offers an inexpensive and accurate means for digitizing the shape of three-dimensional objects. Because most objects self occlude, no single range Image suffices to describe the entire object. We present a method for combining a collection of range Images into a single polygonal mesh that completely describes an object to the extent that it is visible from the outside.
标签： three-dimensiona inexpensive digitizing accurate
上传时间： 2016-11-29
上传用户：yxgi5
掌握在uC/OS-II 操作系统下使用ZLG/GUI的基本方法。 1. 启动 ADS 1.2，使用 ARM Executable Image for UCOSII(for lpc22xx)工程模板建立一 个工程 gui_ucos，工程存储在 uCOS-II 目录下。 说明：在 uCOS-II 目录下要保存有 uCOS-II 的移植代码和内核源代码。 2. 建立 C 源文件 Test .c，编写实验程序，保存到 gui_ucos\src 目录下，然后添加到工程 的 user组中。 3. 复制 ZLG/GUI 文件。把 ZLG_GUI 整个目录及文件复制到 gui_ucos\SRC 目录下。 4. 添加 ZLG/GUI 文件。在工程管理窗口中新建一个组 ZLG/GUI，然后在这个组内添 加 gui_ucos\SRC\ZLG_GUI下的所有 C 源程序文件和 GUI_CONFIG.H配置文件。 5. 新建驱动程序，在工程管理窗口中新建一个组 lcd_drive，并将驱动程序添加到工程 的 lcd_drive组中。驱动程序文件名比如：LCDDRIVE.c、LCDDRIVE.H，可以保存 在 gui_ucos\SRC 目录下。 6. 修改 CONFIG.H，增加包含 LCDDRIVE.H 头文件和 ZLG/GUI 的所有头文件，如程 序清单 1.3 所示。
上传时间： 2013-12-21
上传用户：wyc199288
将SQLSERVER记录还原生成Insert的SQL语句，方便生成数据库安装记录，备份重要数据， 支持字段多，但暂时不支持Image类字段
上传时间： 2014-01-27
上传用户：清风冷雨
15篇光流配准经典文献，目录如下： 1、A Local Approach for Robust Optical Flow Estimation under Varying 2、A New Method for Computing Optical Flow 3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9、Computing optical flow with physical models of brightness Variation 10、Dense estimation and object-based segmentation of the optical flow with robust techniques 11、Example Goal Standard methods Our solution Optical flow under 12、Exploiting Discontinuities in Optical Flow 13、Optical flow for Validating Medical Image Registration 14、Tutorial Computing 2D and 3D Optical Flow.pdf 15、The computation of optical flow
标签： 光流
上传时间： 2014-11-21
上传用户：fanboynet
AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items). b. Run Image size should be set to allow greater than 32MB. 3. a. From the Project menu select Add Existing Subproject... b. select AR6K_DRV.pbxml c. select open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution.
标签： installation Windows Driver March
上传时间： 2014-09-06
上传用户：yuzsu
（1）ICCV1999 Object Recognition from Local Scale-Invariant Features.pdf提出（2）IJCV2004 Distinctive Image features from scale invariant keypoints.pdf总结（3）CVPR2004 PCA-SIFT：A More Distinctive Representation for Local Image Descriptors.pdf加PCA降维
标签： Scale-Invariant Distinctive Recognition Features
上传时间： 2013-12-27
上传用户：yepeng139
ECE345, Visual-to-Audio Electronic Travel Aid Code for TM320C54x (v2a.asm) download This project involves the design and implementation of a audio synthesis device that converts moving Images into audio signals. The system is built on a TM320C54x DSP with interface to an IMAQ camera module via the serial port on a PC. Brief description: A LabVIEW VI acquires an Image from the IMAQ camera module. It quantizes the Image into a 5x5, 3-bit Image, and sends the data to the TM320C54x DSP via a serial port. The TM320C54x DSP constructs a 64-tap FIR by combining a series of 64-tap head related transfer functions (HRTF) according to the incoming data, and then filters an input audio signal with this FIR filter, in effect creating a correspondence between the filtered signal and the original Image.
标签： Visual-to-Audio Electronic download project
上传时间： 2017-02-01
上传用户：笨小孩
