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In this essay, I examine the channels through which Free and Open Source Software (F/OSS) developers reconfigure central tenets of the liberal tradition—and the meanings of both freedom and speech—to defend against efforts to constrain their productive autonomy. I demonstrate how F/OSS developers contest and specify the meaning of liberal freedom—especially free speech—through the development of legal tools and discourses within the context of the F/OSS project. I highlight how developers concurrently tinker with technology and the law using similar skills, which transform and consolidate ethical precepts among developers. I contrast this legal pedagogy with more extraordinary legal battles over intellectual property, speech, and software. I concentrate on the arrests of two programmers, Jon Johansen and Dmitry Sklyarov, and on the protests they provoked, which unfolded between 1999 and 2003. These events are analytically significant because they dramatized and thus made visible tacit social processes. They publicized the challenge that F/OSS represents to the dominant regime of intellectual property (and clarified the democratic stakes involved) and also stabilized a rival liberal legal regime intimately connecting source code to speech.

ABSTRACT:The evolution of Structure from Motion (SfM) techniques and their integration with the established procedures of classic stereoscopic photogrammetric survey have provided a very effective tool for the production of three-dimensional textured models. Such models are not only aesthetically pleasing but can also contain metric information, the quality of which depends on both survey type and applied processing methodologies. An open research topic in this area refers to checking attainable accuracy levels. The knowledge of such accuracy is essential, especially in the integration of models obtained through SfM with other models derived from different sensors or methods (laser scanning, classic photogrammetry ...). Accuracy checks may be conducted by either comparing SfM models against a reference one or measuring the deviation of control points identified on models and measured with classic topographic instrumentation and methodologies. This paper presents an analysis of attainable accuracy levels, according to different approaches of survey and data processing. For this purpose, a survey of the Church of San Miniato in Marcianella (Pisa, Italy), has been used. The dataset is an integration of laser scanning with terrestrial and UAV-borne photogrammetric surveys; in addition, a high precision topographic network was established for the specific purpose. In particular, laser scanning has been used for the interior and the exterior of the church, with the exclusion of the roof, while UAVs have been used for the photogrammetric survey of both roof, with horizontal strips, and façade, with vertical strips.

This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on three-dimensional (3D) representations in architectural heritage documentation and analysis is ever increasing. For the creation of such repositories, reality-based surveying techniques, such as photogrammetry and laser scanning, allow the fast collection of reliable digital replicas of the study objects in the form of point clouds. Besides, their output is raw and unstructured, and the transition to intelligible and semantic 3D representations is still a scarcely automated and time-consuming process requiring considerable human intervention. More refined methods for 3D data interpretation of heritage point clouds are therefore sought after. In tackling these issues, the proposed approach relies on (i) the application of machine learning techniques to semantically label 3D heritage data by identification of relevant geometric, radiometric and intensity features, and (ii) the use of the annotated data to streamline the construction of Heritage-Building Information Modeling (H-BIM) systems, where purely geometric information derived from surveying is associated with semantic descriptors on heritage documentation and management. The “Grand-Ducal Cloister” dataset, related to the emblematic case study of the Pisa Charterhouse, is discussed.