The Law Applicable to Online Copyright Infringements int ALI and CLIP Proposals: A Rebalance of Interest Needed?

The article discusses the problems of applicable law to copyright infringements online. It firstly identifies the main problems related to the well established territoriality principle and the lex loci protectionis rules. Then; the discussion focuses on the "ubiquitous infringement" rule recently proposed by the American Law Institute (ALI) and the European Max Planck Group for Conflicts of Law and Intellectual Propoperty (CLIP). The author strongly welcomes a compromise between the territoriality and universality approaches suggested in respect of ubiquitous infringement cases. At the same time; the paper draws the attention that the interests of "good faith" online service providers (such as legal certainty and foreseeability) have been until now underestimated and invites to take these interests into account when merging the projects into a common international proposal.

Investment Valuation with Tax-optimized Financing Decisions and a Tax-optimized Default Alternative

In this paper we evaluate an indivisible investment project that is carried out in a corporation under very simple premises. In particular, we discuss a one-period model with certainty, the pure domestic case and proportional tax rates. Surprisingly, the decision problem turns out to be rather complex if one has to make allowance for different taxation of the corporation and its owner. Altogether there are more than 10 cases that have to be distinguished if the firm's managers want to make a correct decision, depending on the relation of personal and corporate tax rates.

Real-time depth camera tracking with CAD models and ICP

In recent years, depth cameras have been widely utilized in camera tracking for augmented and mixed reality. Many of the studies focus on the methods that generate the reference model simultaneously with the tracking and allow operation in unprepared environments. However, methods that rely on predefined CAD models have their advantages. In such methods, the measurement errors are not accumulated to the model, they are tolerant to inaccurate initialization, and the tracking is always performed directly in reference model's coordinate system. In this paper, we present a method for tracking a depth camera with existing CAD models and the Iterative Closest Point (ICP) algorithm. In our approach, we render the CAD model using the latest pose estimate and construct a point cloud from the corresponding depth map. We construct another point cloud from currently captured depth frame, and find the incremental change in the camera pose by aligning the point clouds. We utilize a GPGPU-based implementation of the ICP which efficiently uses all the depth data in the process. The method runs in real-time, it is robust for outliers, and it does not require any preprocessing of the CAD models. We evaluated the approach using the Kinect depth sensor, and compared the results to a 2D edge-based method, to a depth-based SLAM method, and to the ground truth. The results show that the approach is more stable compared to the edge-based method and it suffers less from drift compared to the depth-based SLAM.