Aaron Mavrinac

Opreto

A semiautomatic model-based approach to the view planning problem for high-resolution active triangulation 3-D inspection systems is presented. First, a comprehensive, general, high-fidelity model of such systems is developed for the evaluation of configurations with respect to a model of task requirements, with a bounded scalar performance metric....

The problem of online selection of monocular view sequences for an arbitrary task in a calibrated multi-camera network is investigated. An objective function for the quality of a view sequence is derived from a novel task-oriented, model-based instantaneous coverage quality criterion and a criterion of the smoothness of view transitions over time....

Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques. The nature of vision sensors presents unique challenges in deriving such models for camera networks. A comprehensive survey of geometric and topological coverage models for camera networks from the literature is presented. The models ar...

An economical self-localization system which uses a monocular camera and a set of artificial landmarks is presented herein. The system represents the surrounding environment as a topological graph where each node corresponds to an artificial landmark and each edge corresponds to a relative pose between two landmarks. The edges are weighted based on...

A method for real-time selection of optimal view sequences for a task in a calibrated multi-camera system is presented. Selection is based on a multi-camera coverage model constructed from a priori information about the cameras, task, and scene, which are assumed to be available in the relatively controlled environments of the target application cl...

1 It is desirable for automated object recognition using computer vision systems to emulate the human capacity for recognition of shapes invariant to vari-ous transformations. We present an algorithm, based on a Fuzzy Associative Database approach, which uses appropriately invariant metrics and a neu-ro-fuzzy inference method to accurately classify...

Once the human vision system has seen a 3D object from a few different viewpoints, depending on the nature of the object, it can generally recognize that object from new arbitrary viewpoints. This useful interpolative skill relies on the highly complex pattern matching systems in the human brain, but the general idea can be applied to a computer vi...

A new topological model of camera network coverage, based on a weighted hypergraph representation, is introduced. The model's theoretical basis is the coverage strength model, presented in previous work and summarized here. Optimal distribution of task processing is approximated by adapting a local search heuristic for parallel machine scheduling t...

A method for sensor planning based on a previously developed coverage strength model is presented. The approach taken is known as generate-and-test: a feasible solution is predefined and then tested using the coverage model. The relationship between the resolution of the imaging system and its performance is the key component to perform sensor plan...

An intuitive three-dimensional task-oriented coverage model for 3D multi-camera networks based on fuzzy sets is presented. The model captures the vagueness inherent in the concept of visual cover- age, with a specific target of the feature detection and matching task. The coverage degree predicted by the model is validated against various multi-cam...

A robust model-based calibration method for dual laser line active triangulation range cameras, with the goal of reducing camera occlusion via data fusion, is presented. The algorithm is split into two stages: line-based estimation of the lens distortion parameters in the individual cameras, and computation of the perspective transformation from ea...

Stereo-based 3D distributed smart camera networks are useful in a broad range of applications. Knowledge of the relative locations and orientations of nodes in the network is an essential prerequisite for true 3D sensing. A novel spatial calibration method for a network of pre-calibrated stereo smart cameras is presented, which obtains pose estimat...

A comprehensive, intuitive, task-oriented three-dimensional coverage model for cameras and multi-camera networks using fuzzy sets is presented. The model captures the vagueness inherent in the concept of visual coverage. At present, the model can be used to evaluate, given a scene model and an objective, the coverage performance of a given camera o...

A distributed smart camera network is a collective of vision-capable devices with enough processing power to execute algorithms for collaborative vision tasks. A true 3D sensing network applies to a broad range of applications, and local stereo vision capabilities at each node offer the potential for a particularly robust implementation. A novel sp...

Once the human vision system has seen a 3D object from a few different viewpoints, depending on the nature of the object, it can generally recognize that object from new arbitrary viewpoints. This useful interpolative skill relies on the highly complex pattern matching systems in the human brain, but the general idea can be applied to a computer vi...

A method for color image segmentation using a competitive learning clustering scheme is examined, and some basic improvements are made. Two important aspects of the color image segmentation problem, namely color space selection and oversegmentation, are discussed in the context of the algorithm, with comments about suitability and effectivenessof c...