Object (computer science)

About: Object (computer science) is a research topic. Over the lifetime, 106024 publications have been published within this topic receiving 1360115 citations. The topic is also known as: obj & Rq.

reacTIVision: a computer-vision framework for table-based tangible interaction

Abstract: This article provides an introductory overview to first-time users of the reacTIVision framework -- an open-source cross-platform computer-vision framework primarily designed for the construction of table-based tangible user interfaces. The central component of the framework is a standalone application for fast and robust tracking of fiducial markers in a real-time video stream. The framework also defines a transport protocol for efficient and reliable transmission of object states via a local or wide area network. In addition, the distribution includes a collection of client example projects for various programming environments that allow the rapid development of unique tangible user interfaces. This article also provides a discussion of key points relevant to the construction of the necessary table hardware and surveys some projects that have been based on this technology.

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Abstract: We introduce a new large-scale data set of video URLs with densely-sampled object bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists of approximately 380,000 video segments about 19s long, automatically selected to feature objects in natural settings without editing or post-processing, with a recording quality often akin to that of a hand-held cell phone camera. The objects represent a subset of the COCO [32] label set. All video segments were human-annotated with high-precision classification labels and bounding boxes at 1 frame per second. The use of a cascade of increasingly precise human annotations ensures a label accuracy above 95% for every class and tight bounding boxes. Finally, we train and evaluate well-known deep network architectures and report baseline figures for per-frame classification and localization. We also demonstrate how the temporal contiguity of video can potentially be used to improve such inferences. The data set can be found at https://research.google.com/youtube-bb. We hope the availability of such large curated corpus will spur new advances in video object detection and tracking.

Object-Oriented Programming in the Beta Programming Language

Abstract: Introduction - benefits of object-orientation, object-oriented programming and BETA introduction to basic concepts - perspectives on programming, object-oriented programming objects and patterns - overview, reference attributes, pattern attributes repetitions - reallocation, assignment and slice, the text pattern imperatives - introduction to evaluations, for-imperative, if-imperative, labels and jump imperatives, a large example, assignment and equality, computed references and computed remote name, detailed description of evaluations, block structure and scope rules, object kinds and construction modes sub-patterns - specialization by simple inheritance, specialization of actions, enter/exit-parts for sub-patterns, the object patterns, summary, qualifications and scope rules virtual procedure patterns, continued extension of a virtual patterns, more examples of using virtual patterns, benefits of virtual patterns, summary block structure - simple block structure, class grammar, flight reservation example virtual class patterns - directly qualified virtual class patterns, general parameterized class patterns part objects and reference attributes - part objects, reference attributes pattern variables - declaration of pattern variables, example procedural programming - functional classes, higher order procedure patterns, virtual classes and genericity deterministic alternation - execution stacks, generators, components and recursive procedure patterns, abstract super-patterns concurrency - concurrent execution of components, monitors, direct communication between components, compound systems, readers and writers problem non-determinstic alternation - alternating execution of components, a distributed calendar, bounded buffer, a simple game exception handling - simple exceptions, recovery, partial recovery, handlers for procedure patterns, system exceptions, language-defined exceptions, advanced design of exception patterns modularization - fragments, separation of interface and implementation, alternative implementations, programme variants, using several libraries, visibility and binding rules (part contents).

COSMOS-A representation scheme for 3D free-form objects

Abstract: We address the problem of representing and recognizing 3D free-form objects when (1) the object viewpoint is arbitrary, (2) the objects may vary in shape and complexity, and (3) no restrictive assumptions are made about the types of surfaces on the object. We assume that a range image of a scene is available, containing a view of a rigid 3D object without occlusion. We propose a new and general surface representation scheme for recognizing objects with free-form (sculpted) surfaces. In this scheme, an object is described concisely in terms of maximal surface patches of constant shape index. The maximal patches that represent the object are mapped onto the unit sphere via their orientations, and aggregated via shape spectral functions. Properties such as surface area, curvedness, and connectivity, which are required to capture local and global information, are also built into the representation. The scheme yields a meaningful and rich description useful for object recognition. A novel concept, the shape spectrum of an object is also introduced within the framework of COSMOS for object view grouping and matching. We demonstrate the generality and the effectiveness of our scheme using real range images of complex objects.