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Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

Research and Teaching Output of the MIT Community

Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

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  • McIntosh, Harold V. (1968-01-01)
    REC/8 is a CONVERT program, realized in the CTSS LISP of Project MAC, for compiling RED expressions into the machine language of the PDP-8 computer. Since the compilation consists in its majority of subroutines calls (to ...
  • Edwards, D.J.; Minsky, M.L. (1963-11-01)
    This paper will report new developments and recent improvements to DDT. "Window DDT" now will remember undefined symbols and define them on a later command. Using sequence breaks, it can change the contents of memory while ...
  • Balas, Benjamin; Sinha, Pawan (2005-03-01)
    Localized operators, like Gabor wavelets and difference-of-Gaussian filters, are considered to be useful tools for image representation. This is due to their ability to form a ‘sparse code’ that can serve as a basis set ...
  • Sinha, Pawan (1995-04-21)
    The processes underlying the perceptual analysis of visual form are believed to have minimal interaction with those subserving the perception of visual motion (Livingstone and Hubel, 1987; Victor and Conte, 1990). ...
  • Grimson, W. Eric L.; Lozano-Perez, Tomas (1985-06-01)
    This paper discusses how sparse local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degreed ...
  • Poggio, Tomaso; Vetter, Thomas (1992-02-01)
    In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- ...
  • Ullman, Shimon; Basri, Ronen (1989-08-01)
    Visual object recognition requires the matching of an image with a set of models stored in memory. In this paper we propose an approach to recognition in which a 3-D object is represented by the linear combination of 2-D ...
  • Basri, Ronen (1992-12-01)
    A scheme for recognizing 3D objects from single 2D images is introduced. The scheme proceeds in two stages. In the first stage, the categorization stage, the image is compared to prototype objects. For each prototype, ...
  • Freuder, Eugene C. (MIT Artificial Intelligence Laboratory, 1972-10)
    High level semantic knowledge will be employed in the development of a machine vision program flexible enough to deal with a class of "everyday objects" in varied environments. This report is in the nature of a thesis ...
  • Marr, David (1974-12-01)
    The recognition of sharp edges from edge- and bar-mask convolutions with an image is studied for the special case where the separation of the edges is of the order of the masks' panel-widths. Desmearing techniques are ...
  • Dror, Ron O.; Edward H. Adelson,; Willsky, Alan S. (2001-10-21)
    This paper describes a machine vision system that classifies reflectance properties of surfaces such as metal, plastic, or paper, under unknown real-world illumination. We demonstrate performance of our algorithm for ...
  • Beyer, Wendel Terry (1969-10-01)
    A study is made of the recognition and transformation of figures by iterative arrays of finite state automata. A figure is a finite rectangular two-dimensional array of symbols. The iterative arrays considered are ...
  • Beyer, Terry (1968-09-01)
    In this paper we study recognition of topological invariant properties of patterns by use of finite, rectangular 2-dimensional, interactive arrays of finite state automata (hereafter called modular arrays). The use of ...
  • Jacobs, David W. (1993-04-01)
    We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most ...
  • Nagao, Kenji; Grimson, Eric (1995-04-22)
    In this paper we describe a new efficient algorithm for recognizing 3D objects by combining photometric and geometric invariants. Some photometric properties are derived, that are invariant to the changes of illumination ...
  • Grimson, W. Eric; Huttenlocher, Daniel P.; Alter, T. D. (1992-07-01)
    Many object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. With perfect image data, these ...
  • Torralba, Antonio; Sinha, Pawan (2001-07-25)
    We propose a scheme for indoor place identification based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolution spatial and spectral information. The ...
  • Huttenlocher, Daniel P.; Ullman, Shimon (1987-01-01)
    This paper presents an approach to recognition where an object is first {\\it aligned} with an image using a small number of pairs of model and image features, and then the aligned model is compared directly against ...
  • Marill, Thomas (1989-09-01)
    We present an approach to the problem of recognizing three-dimensional objects from line-drawings. In this approach there are no models. The system needs only to be given a single picture of an object; it can then ...
  • DeHon, Andre (1996-09-01)
    General-purpose computing devices allow us to (1) customize computation after fabrication and (2) conserve area by reusing expensive active circuitry for different functions in time. We define RP-space, a restricted ...
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