Capturing book images is more convenient with a mobile phone camera than with more specialized flat-bed scanners or 3D capture devices. We built an application for the iPhone 4S that captures a sequence of hi-res (8 MP) images of a page spread as the user sweeps the device across the book. To do the 3D dewarping, we implemented two algorithms: optical flow (OF) and structure from motion (SfM). ...

General SFM methods give poor results for images captured by constrained motions such as planar motion. In this paper, we propose new SFM algorithms for images captured under a common but constrained planar motion: the image plane is perpendicular to the motion plane. We show that a 2D image captured under such constrained planar motion can be decoupled into two 1D images: one 1D projective and...

Structure-From-Motion (SFM) methods, using stereo data, are among the best performing algorithms for motion estimation from video imagery, or visual odometry. Critical to the success of SFM methods is the quality of the initial pose estimation algorithm from feature correspondences. In this work, we evaluate the performance of pose estimation algorithms commonly used in SFM visual odometry. We ...

Kurzfassung. In diesem Beitrag wird die Integration einer etablierten Methode für die Parametrisierung geschlossener Oberflächen mit minimaler Verzerrung in einen effizienten Algorithmus für die Erstellung statistischer Formmodelle (SFM) vorgestellt. Dieser bestimmt die erforderlichen Punkt-Korrespondenzen (Landmarken) durch Minimierung der sog. Description Length des SFM. Da diese Optimierung ...

Synthetic biomaterials are widely used in medical implants with success in improving and extending quality of life. However, these materials were not originally designed to interact with cells through specific signaling pathways. As a result, the interaction with the body is mediated through passive adsorption of a disorganized protein monolayer. Next generation biomaterials have been proposed ...

Traditionally, the Structure From Motion (SFM) problem has been solved using feature correspondences. This approach requires reliably detected and tracked features between images taken from widespread locations. In this paper, we present a new paradigm to the SFM problem for planar scenes. The novelty of the paradigm lies in the fact that instead of image feature correspondences, only image der...

General SFM methods give poor results for images captured by constrained motions such as planar motion of concentric mosaics (CM). In this paper, we propose new SFM algorithms for both images captured by CM and composite mosaic images from CM. We first introduce 1D affine camera model for completing 1D camera models. Then we show that a 2D image captured by CM can be decoupled into two 1D image...

PURPOSE Having observed that confluent ARPE-19 cells (derived from human RPE) survive well in high-glucose serum-free medium (SFM) without further feeding for several days, we investigated the expression profile of RPE cells under the same conditions. METHODS Expression profiles were examined with microarray and quantitative PCR (qPCR) analyses, followed by western blot analysis of key regula...

The study was conducted to investigate the effect of adding multienzyme preparation (Rovabio Excel AP, Adisseo Asia Pacific Pte Ltd., Singapore) at 2 inclusion levels of sunflower meal (SFM; 20 and 30% of the diets) with 3 levels of digestible Lys (0.8, 0.9, and 1.0%) with and without enzyme in a 2 x 2 x 3 factorial arrangement. Each diet was offered to 4 replicates of 51 one-day-old straight-r...

Structure from Motion (SfM) algorithms take as input multiview stereo images (along with internal calibration information) and yield a 3D point cloud and camera orientations/poses in a common 3D coordinate system. In the case of an incremental SfM pipeline, the process requires repeated model estimations based on detected feature points: homography, fundamental and essential matrices, as well a...