Reconstructing the World’s Museums

Virtual exploration tools for large indoor environments (e.g. museums) have so far been limited to either blueprint-style 2D maps that lack photo-realistic views of scenes, or ground-level image-to-image transitions, which are immersive but ill-suited for navigation. On the other hand, photorealistic aerial maps would be a useful navigational guide for large indoor environments, but it is impossible to directly acquire photographs covering a large indoor environment from aerial viewpoints. This paper presents a 3D reconstruction and visualization system for automatically producing clean and well-regularized texture-mapped 3D models for large indoor scenes, from ground-level photographs and 3D laser points. The key component is a new algorithm called “inverse constructive solid geometry (CSG)” for reconstructing a scene with a CSG representation consisting of volumetric primitives, which imposes powerful regularization constraints. We also propose several novel techniques to adjust the 3D model to make it suitable for rendering the 3D maps from aerial viewpoints. The visualization system enables users to easily browse a large-scale indoor environment from a bird’s-eye view, locate specific room interiors, fly into a place of interest, view immersive ground-level panorama views, and zoom out again, all with seamless 3D transitions. We demonstrate our system on various museums, including the Metropolitan Museum of Art in New York City—one of the largest art galleries in the world.     

纳米微胶囊技术与纳米化妆品研究进展

本文着重阐述了有关纳米胶囊的制备方法及最新研究进展,并展望了纳米技术及纳米微胶囊在化妆品领域的应用前景.     

Multi-scale patch-based sparse appearance model for robust object tracking

When objects undergo large pose change, illumination variation or partial occlusion, most existing visual tracking algorithms tend to drift away from targets and even fail to track them. To address the issue, in this paper we propose a multi-scale patch-based appearance model with sparse representation and provide an efficient scheme involving the collaboration between multi-scale patches encoded by sparse coefficients. The key idea of our method is to model the appearance of an object by different scale patches, which are represented by sparse coefficients with different scale dictionaries. The model exploits both partial and spatial information of targets based on multi-scale patches. Afterwards, a similarity score of one candidate target is input into a particle filter framework to estimate the target state sequentially over time in visual tracking. Additionally, to decrease the visual drift caused by frequently updating model, we present a novel two-step object tracking method which exploits both the ground truth information of the target labeled in the first frame and the target obtained online with the multi-scale patch information. Experiments on some publicly available benchmarks of video sequences showed that the similarity involving complementary information can locate targets more accurately and the proposed tracker is more robust and effective than others.     

Effective naive Bayes nearest neighbor based image classification on GPU

Non-parametric classifier, Naive Bayes nearest neighbor, is designed with no training phase, and its performance outperforms many well-trained learning-based image classifiers. Unfortunately, despite its high accuracy, it suffers from great computational pressure from distance computations in space of local feature. This paper explores accelerating strategies from perspectives of both algorithm design and software development. Our approach integrates space decomposition capability of Product quantization (PQ) and parallel accelerating capability of underlying computational platform, Graphics processing unit (GPU). PQ is exploited to compress the indexed local features and prune the search space. GPU is used to ease most of computational pressure by processing the tasks in parallel. To achieve good parallel efficiency, a new sequential classification process is first designed and decomposed into independent components with high parallelism. Effective parallelization techniques are then presented to make use of computational resources. Parallel heap array is built to accelerate the process of feature quantization. Distance table lookup is built to speed up the process of feature search. Comparative experiments on UIUC-Sport dataset demonstrate that our integrated solution outperforms other implementations significantly on Core-quad Intel Core i7 950 CPU and GPU of NVIDIA Geforce GTX460. Scalability experiment on 80 million tiny images database shows that our approach still performs well when large-scale image database is explored.     

An improved quantum-behaved particle swarm optimization algorithm

In this paper, we propose some improvements that enhance the optimization ability of quantum-behaved particle swarm optimization algorithms. First, we propose an encoding approach based on qubits described on the Bloch sphere. In our approach, each particle contains three groups of Bloch coordinates of qubits, and all three groups of coordinates are regarded as approximate solutions describing the optimization result. Our approach updates the particles using the rotation of qubits about an axis on the Bloch sphere. This updating approach can simultaneously adjust two parameters of qubits, and can automatically achieve the best matching of two adjustments. To avoid premature convergence, the mutation is performed with Hadamard gates. The optimization process is performed in the n-dimensional hypercube space [?1,1] ⁿ , so the proposed approach can be easily adapted to a variety of optimization problems. The experimental results show that the proposed algorithm is superior to the original one in optimization ability.     

氧化物对3CaO·3Al2O3·CaSO4形成的影响

借助XRD测试手段研究了Al2O3、SiO2、Fe2O3以及MgO几种生料中常见氧化物对高温固硫物相3CaO·3Al2O3·CaSO4形成的影响.结果表明,改变Al2O3的含量,不会对3CaO·3Al2O3·CaSO4的形成产生明显影响;Fe2O3及MgO的存在能降低3CaO·3Al2O3·CaSO4的形成温度,但也使其分解温度提前;SiO2的大量存在则会抑制3CaO·3Al2O3·CaSO4的形成.     

纳米棒状氧化铁红的制备及表征

以尿素为沉淀剂,采用缓慢滴加方式,用均匀沉淀法制备了纳米棒状氧化铁红。考察了Fe^2＋浓度、反应时间、反应温度、尿素与Fe^2＋物质的量比等因素对产品粒径、形貌及收率的影响,并用TG,XRD,IR,UV-VIS,TEM等对样品进行了表征。确定了制备纳米棒状氧化铁红的最佳工艺条件：Fe^2＋浓度为0.50 mol/L,反应时间为180 min,反应温度为80℃,尿素与Fe^2＋物质的量比为20∶1,在此条件下制得前驱体,将前驱体在350℃下煅烧2 h,即可得到纳米棒状氧化铁红。样品的XRD,TEM表征结果为六方晶系的纳米棒状α-Fe2O3,其长轴约为300-500 nm,短轴约为20-40 nm,产品收率为75.90%,颜色为鲜红色,含质量分数5%样品的清漆对紫外线具有很好的吸收性能,而对可见光具有良好的透明性,其透光率在85%以上,可作为透明氧化铁红颜料使用。     

磷复肥喷浆造粒内筛分技术的研究与应用

探讨了影响喷浆造粒内筛分的诸因素，提出强化筛分的措施并建立新型内筛分能力的计算式，为工程应用提供了理论依据。     

异丙醇气相法合成MIBK/DIBK生产线方案的技术经济评价

介绍了异丙醇气相法联产甲基异丁基酮 /二异丁基酮的工艺流程 ,对企业上生产规模进行了经济比较分析 ,提供了理论数据 ,指明了其发展前景。     

有机颜料开发的新动向

有机颜料是一类重要的着色剂。本文综述了近年的开发动向，除了开发新结构颜料外，重点放在现有颜料的改良，新的有机颜料诱导体与固溶体颜料的合成上。它们对促进有机颜料的发展具有重要的价值。