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Model-based recognition in robot vision
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Invariant surface characteristics for 3D object recognition in range images
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Determination of the identity, position and orientation of the topmost object in a pile
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Curvature-based representation of objects from range data
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Robotics: control, sensing, vision, and intelligence
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Localizing Overlapping Parts by Searching the Interpretation Tree
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Segmentation and Classification of Range Images
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3-D multiview object representation for model-based object recognition
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Perceptual organization and the representation of natural form
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Algorithms for clustering data
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Surfaces in range image understanding
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Three-Dimensional Vision Structure for Robot Applications
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Evidence-Based Recognition of 3-D Objects
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Active optical range imaging sensors
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The goal in computer vision systems is to analyze data collected from the environment and derive an interpretation to complete a specified task. Vision system tasks may be divided into data acquisition, low-level processing, representation, model construction, and matching subtasks. This paper presents a comprehensive survey of model-based vision systems using dense-range images. A comprehensive survey of the recent publications in each subtask pertaining to dense-range image object recognition is presented.