Now showing items 1-20 of 23

    • Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition 

      Edelman, Shimon; Poggio, Tomaso (1990-04-01)
      We describe experiments with a versatile pictorial prototype based learning scheme for 3D object recognition. The GRBF scheme seems to be amenable to realization in biophysical hardware because the only kind of ...
    • The Combinatorics of Heuristic Search Termination for Object Recognition in Cluttered Environments 

      Grimson, W. Eric L. (1989-05-01)
      Many recognition systems use constrained search to locate objects in cluttered environments. Earlier analysis showed that the expected search is quadratic in the number of model and data features, if all the data comes ...
    • Component based recognition of objects in an office environment 

      Morgenstern, Christian; Heisele, Bernd (2003-11-28)
      We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity ...
    • The Computational Study of Vision 

      Hildreth, Ellen C.; Ullman, Shimon (1988-04-01)
      The computational approach to the study of vision inquires directly into the sort of information processing needed to extract important information from the changing visual image---information such as the three-dimensional ...
    • Context-Based Vision System for Place and Object Recognition 

      Torralba, Antonio; Murphy, Kevin P.; Freeman, William T.; Rubin, Mark A. (2003-03-19)
      While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a context-based vision system for place and object ...
    • Describing Surfaces 

      Brady, Michael; Ponce, Jean; Yuille, Alan; Asada, Haruo (1985-01-01)
      This paper continues our work on visual representation s of three-dimensional surfaces [Brady and Yuille 1984b]. The theoretical component of our work is a study of classes of surface curves as a source of constraint ...
    • Face processing in humans is compatible with a simple shape-based model of vision 

      Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
      Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
    • Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based 

      Riesenhuber, Maximilian (2001-12-10)
      Baylis & Driver (Nature Neuroscience, 2001) have recently presented data on the response of neurons in macaque inferotemporal cortex (IT) to various stimulus transformations. They report that neurons can generalize over ...
    • How are Three-Deminsional Objects Represented in the Brain? 

      Buelthoff, Heinrich H.; Edelman, Shimon Y.; Tarr, Michael J. (1994-04-01)
      We discuss a variety of object recognition experiments in which human subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, ...
    • How to Play Twenty Questions with Nature and Win 

      Richards, Whitman (1982-12-01)
      The 20 Questions Game played by children has an impressive record of rapidly guessing an arbitrarily selected object with rather few, well-chosen questions. This same strategy can be used to drive the perceptual process, ...
    • Indexing for Visual Recognition from a Large Model Base 

      Breuel, Thomas M. (1990-08-01)
      This paper describes a new approach to the model base indexing stage of visual object recognition. Fast model base indexing of 3D objects is achieved by accessing a database of encoded 2D views of the objects using a ...
    • Limitations of Geometric Hashing in the Presence of Gaussian Noise 

      Sarachik, Karen B. (1992-10-01)
      This paper presents a detailed error analysis of geometric hashing for 2D object recogition. We analytically derive the probability of false positives and negatives as a function of the number of model and image, ...
    • Observations on Cortical Mechanisms for Object Recognition andsLearning 

      Poggio, Tomaso; Hurlbert, Anya (1993-12-01)
      This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on a recent computational model. The view-centered scheme relies on modules for learning from examples, such as Hyperbf-like ...
    • On the difficulty of feature-based attentional modulations in visual object recognition: A modeling study. 

      Schneider, Robert; Riesenhuber, Maximilian (2004-01-14)
      Numerous psychophysical experiments have shown an important role for attentional modulations in vision. Behaviorally, allocation of attention can improve performance in object detection and recognition tasks. At the neural ...
    • On the Recognition of Curved Objects 

      Grimson, W. Eric L. (1987-07-01)
      Determining the identity and pose of occluded objects from noisy data is a critical part of a system's intelligent interaction with an unstructured environment. Previous work has shown that local measurements of the ...
    • On the Recognition of Parameterized Objects 

      Grimson, W. Eric L. (1987-10-01)
      Determining the identity and pose of occluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and ...
    • On the Sensitivity of the Hough Transform for Object Recognition 

      Grimson, W. Eric L.; Huttenlocher, David (1988-05-01)
      A common method for finding an object's pose is the generalized Hough transform, which accumulates evidence for possible coordinate transformations in a parameter space and takes large clusters of similar transformations ...
    • On the Verification of Hypothesized Matches in Model-Based Recognition 

      Grimson, W. Eric L.; Huttenlocher, Daniel P. (1989-05-01)
      In model-based recognition, ad hoc techniques are used to decide if a match of data to model is correct. Generally an empirically determined threshold is placed on the fraction of model features that must be matched. ...
    • Recognition and Localization of Overlapping Parts from Sparse Data 

      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 ...
    • Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries 

      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- ...