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Robust and Efficient 3D Recognition by Alignment
(1992-09-01)
Alignment is a prevalent approach for recognizing 3D objects in 2D images. A major problem with current implementations is how to robustly handle errors that propagate from uncertainties in the locations of image ...
Limitations of Geometric Hashing in the Presence of Gaussian Noise
(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, ...
Space Efficient 3D Model Indexing
(1992-02-01)
We show that we can optimally represent the set of 2D images produced by the point features of a rigid 3D model as two lines in two high-dimensional spaces. We then decribe a working recognition system in which we ...
Recognizing 3D Ojbects of 2D Images: An Error Analysis
(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 ...
Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition
(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 ...
How are Three-Deminsional Objects Represented in the Brain?
(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, ...
Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries
(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- ...
Indexing for Visual Recognition from a Large Model Base
(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 ...
Observations on Cortical Mechanisms for Object Recognition andsLearning
(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 ...