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Now showing items 31-40 of 51
Using Recurrent Networks for Dimensionality Reduction
(1992-09-01)
This report explores how recurrent neural networks can be exploited for learning high-dimensional mappings. Since recurrent networks are as powerful as Turing machines, an interesting question is how recurrent networks ...
Geometry and Photometry in 3D Visual Recognition
(1992-11-01)
The report addresses the problem of visual recognition under two sources of variability: geometric and photometric. The geometric deals with the relation between 3D objects and their views under orthographic and ...
A Hierarchical Cache Coherent Protocol
(1992-09-01)
As the number of processors in distributed-memory multiprocessors grows, efficiently supporting a shared-memory programming model becomes difficult. We have designed the Protocol for Hierarchical Directories (PHD) to ...
Geometric Aspects of Visual Object Recognition
(1992-05-01)
This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case ...
A Connection Between GRBF and MLP
(1992-04-01)
Both multilayer perceptrons (MLP) and Generalized Radial Basis Functions (GRBF) have good approximation properties, theoretically and experimentally. Are they related? The main point of this paper is to show that for ...
Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges
(1992-12-01)
We present a novel ridge detector that finds ridges on vector fields. It is designed to automatically find the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features ...
Towards Autonomous Motion Vision
(1992-04-01)
Earlier, we introduced a direct method called fixation for the recovery of shape and motion in the general case. The method uses neither feature correspondence nor optical flow. Instead, it directly employs the spatiotemporal ...
Distance Metric Between 3D Models and 3D Images for Recognition and Classification
(1992-07-01)
Similarity measurements between 3D objects and 2D images are useful for the tasks of object recognition and classification. We distinguish between two types of similarity metrics: metrics computed in image-space (image ...
3D Pose from Three Corresponding Points Under Weak-Perspective Projection
(1992-07-01)
Model-based object recognition commonly involves using a minimal set of matched model and image points to compute the pose of the model in image coordinates. Furthermore, recognition systems often rely on the ...
Visual Tracking
(1992-10-01)
A typical robot vision scenario might involve a vehicle moving with an unknown 3D motion (translation and rotation) while taking intensity images of an arbitrary environment. This paper describes the theory and implementation ...