This paper presents a new method for 3D shape reconstruction in computer-aided dental prosthetics. A specklegram is projected onto the tooth to be measured. This shadow speckle image is recorded and then processed by a digital image correlation method, which enables the computation of 2D shapes based on the similar principle of shadow moire method. By repeating the procedure for all the sides, i.e., one crown and several side surfaces, local 2D shapes can be measured precisely. Afterwards, these local 2D profiles are merged to form a 3D model, during which certain constraints such as the widths along perpendicular directions are introduced to guide the process. As the height information within an entire image field is recorded instantly, it has the potential to be employed in an intra-oral environment, which would make the patient feel more comfortable during the restoration process. In vitro experiments were carried out on gypsum teeth models and the results proved the effectiveness of the proposed method.

We report a method measuring 3-Ddisplacement of cambered mirror for cryogenic optical system using white light speckle photography with double light sources and double cameras. Data acquiring and processing based on a digital image processing system is described. The 3-Ddisplacement and displacement vector distributions in two low-temperature ranges are measured.

通过空彤彤态函敷的引入，将数字圈像（嵌斑）档是搜索方法进一步推广。提出丁敷字图像相是分析法在这一方击中，把对桩秽厦其各十导敷分量独立进行的相先进代变为叶变形彤态画敷的系数进行相是遗代，从而既简化丁速代过程，更妾现丁整十空彤埽的直接剥量（计算)。典型的实验蛄秉验证丁进一方法的可行性。

应用图像识别与变分学原理，对数字散斑相关方法作了理论阐述，导出了测量物体表面变形场的一般过程，将力学中的变形测量问题转化为单纯的数值计算问题，避免了传统光测方法与干涉条纹有关的一系列困难。初步的实验结果表明，该方法在工程实际现场、高速冲击动态过程、细观力学变形过程以及变形测量的自动化等方面都有广泛的应用潜力，从而为光测力学拓展应用领域、实现自动化测量展现了新的前景。

Respiratory-induced cardiac deformation is a major problem for high-resolution cardiac imaging. This paper presents a new technique for predictive cardiac motion modeling and correction, which uses partial least squares regression to extract intrinsic relationships between three-dimensional (3-D) cardiac deformation due to respiration and multiple one-dimensional real-time measurable surface intensity traces at chest or abdomen. Despite the fact that these surface intensity traces can be strongly coupled with each other but poorly correlated with respiratory-induced cardiac deformation, we demonstrate how they can be used to accurately predict cardiac motion through the extraction of latent variables of both the input and output of the model. The proposed method allows cross-modality reconstruction of patient specific models for dense motion field prediction, which after initial modeling can be used for real-time prospective motion tracking or correction. Detailed numerical issues related to the technique are discussed and the effectiveness of the motion and deformation modeling is validated with 3-D magnetic resonance data sets acquired from ten asymptomatic subjects covering the entire respiratory range.