多带抗噪声语音识别算法研究

根据Flether等人的研究,基于感知独立性假设的子带识别方法被用于抗噪声鲁棒语音识别。本文拓展子带方法,采用基于噪声污染假定的多带框架来减少噪声影响。论文不仅从理论上分析了噪声污染假定多带框架在识别性能上的潜在优势,而且提出了多带环境下的鲁棒语音识别算法。研究表明：多带框架不仅回避了独立感知假设要求,而且与子带方法相比,多带方法能更好的减少噪声影响,提高系统识别性能。     

基于 Android 系统的飞行射击游戏框架设计与实现

在飞行射击游戏框架设计与实现过程中,分析游戏的场景设计、物体之间碰撞的处理、游戏角色和整个游戏类的框架并对程序流程进行描述。实现游戏UI的设计、背景的载人、角色的设计和实例化。在Android系统中对该游戏进行反复测试,实现飞行射击游戏。     

End-to-end scene text recognition using tree-structured models

Detecting and recognizing text in natural images are quite challenging and have received much attention from the computer vision community in recent years. In this paper, we propose a robust end-to-end scene text recognition method, which utilizes tree-structured character models and normalized pictorial structured word models. For each category of characters, we build a part-based tree-structured model (TSM) so as to make use of the character-specific structure information as well as the local appearance information. The TSM could detect each part of the character and recognize the unique structure as well, seamlessly combining character detection and recognition together. As the TSMs could accurately detect characters from complex background, for text localization, we apply TSMs for all the characters on the coarse text detection regions to eliminate the false positives and search the possible missing characters as well. While for word recognition, we propose a normalized pictorial structure (PS) framework to deal with the bias caused by words of different lengths. Experimental results on a range of challenging public datasets (ICDAR 2003, ICDAR 2011, SVT) demonstrate that the proposed method outperforms state-of-the-art methods both for text localization and word recognition.     

利用微藻技术减排CO2的研究

利用诱变育种技术对用来固定CO2的微藻进行育种,获得耐受高CO2浓度、可高效固定CO2的斜生栅藻突变株WUST—04,其最适宜生长的CO2浓度由诱变前的5％提高到诱变后的15％。在5L的光生物反应器中初步研究了该微藻的固碳工艺。结果表明,在适宜的CO2浓度下,微藻的CO2固定效率提高了17．5％,最大CO2固定效率达1．846g／d·L。     

运载火箭六自由度仿真平台搭建与应用

研究运载火箭六自由度仿真系统设计问题,在传统火箭六自由度仿真平台设计中常以特定任务为导向,造成仿真系统碎片化严重,扩展重用性不足.同时,数值仿真与视景仿真的交互中存在实时驱动的问题.针对上述问题,采用面向对象的模块化设计方法,建立了运载火箭六自由度仿真模型,给出了三层结构的通用仿真框架.设计了仿真消息管理器,较好地解决了数值仿真与视景仿真的集成并保证了系统的实时性.仿真结果验证了模型建立的准确性以及仿真平台的可靠性和稳定性.仿真结果对于运载火箭设计和性能评估系统的建立有着良好的借鉴意义.     

微波暗室中基于开关切换的动态干扰仿真方法

为了准确实时复现航空通信系统数据链路中复杂电磁空间环境,本文进行了动态干扰仿真．在静态暗室中设计一种能模拟真实飞行过程抗干扰的半实物仿真系统,并分析了航空通信系统数据链路的特性.在微波暗室中复现动态干扰时,通过微波仪表的控制实现电磁空间环境动态干扰的映射构建．采用参数化模型表征技术实时建立相应的动态干扰模型,并利用最小均方值方法设计出与其匹配的干扰切换的输出算法,利用动静结合的方法仿真实现了微波暗室中通过静态喇叭模拟动态干扰模拟功能.验证结果表明,采用本文的方法能够逼真的反映飞行器在真实环境下所受动态干扰的影响,该仿真系统的研究对提高航空通信系统数据链路的抗干扰性能具有参考意义．     

基于OSG的粒子特效仿真研究

针对虚拟现实领域中特殊天气、战斗等场景中需要雾、雨、云、火焰、爆炸等场景特效来提高场景逼真度与兼顾渲染实时性的问题,提出采用基于OSG的粒子系统特效。本文在分析粒子系统实现原理的基础上,利用Open Scene Graph（OSG）2．8．2开源场景图形开发库建立粒子特效系统模块,从而有效地解决特殊场景中对粒子效果的要求。给出一个飞行场景中降雪效果的示例,通过分析帧速率等指标说明OSG可以快速绘制粒子系统。试验结果表明,基于OSG的粒子特效能够很好地满足虚拟现实中对粒子特效逼真度和实时性的要求。     

基于OPENGL的树木场景渲染分析与实现

研究了基于OPENGL的树木生成算法与树木场景渲染模式,针对自然界中的植被场景中植物的三维建模难以实现高效、快速、准确的实时渲染的难题,为改善树木形态结构建模与实时渲染的效果和速度,提出了一种面向GPU的针对叶簇的渲染架构,给出了树木建模与渲染的具体实现算法,并完成了三维替代物渲染技术,结合叶簇不同形态,采用基于几何模型的枝干渲染和基于2.5维替代物的叶簇渲染,较大地提升了视觉效果的真实性,使树木建模与实时渲染效率和准确性均得到明显提高。仿真结果表明,树木场景渲染实现模式能够较好的满足图像处理需求。     

Augmented Panoramic Video

Many video sequences consist of a locally dynamic background containing moving foreground subjects. In this paper we propose a novel way of re‐displaying these sequences, by giving the user control over a virtual camera frame. Based on video mosaicing, we first compute a static high quality background panorama. After segmenting and removing the foreground subjects from the original video, the remaining elements are merged into a dynamic background panorama, which seamlessly extends the original video footage. We then re‐display this augmented video by warping and cropping the panorama. The virtual camera can have an enlarged field‐of‐view and a controlled camera motion. Our technique is able to process videos with complex camera motions, reconstructing high quality panoramas without parallax artefacts, visible seams or blurring, while retaining repetitive dynamic elements.