Range Data Segmentation with Principal Vectors and Surface Types
نویسندگان
چکیده
A new method for segmenting range data including curved surface is proposed. The method is based on robust principal vectors calculation using ISL-primary-axis method. First a normal vector and principal vectors are calculated for each data point. Next, maximum and minimum curvatures are calculated refemng principal vectors. The surface type of each point is determined with values of the curvatures. Then the surface is segmented by discontinuity of depth, normal vectors, principal vectors and/or surface types. The discontinuity information is stored in a special boundary image to reserve the reliability of each boundary points. Each small region in the segmented image is merged into one of the neighboring regions. The border of the target region is segmented for each neighboring region and each segment is scored with length and reliability which reflects the discontinuity reason. The border segment with the highest score is erased. The experimental result for actual range data is shown.
منابع مشابه
Exploring the relationship between land use and surface water quality using multivariate statistics in arid and semi-arid regions
The relative impacts of different types of land use on the surface water quality are yet to be ascertained and quantified. In this paper, the influence of different types of land use on surface water quality is investigated. Rain events samples from different land use in the central plateau, Iran, were analyzed for major ions. Statistical analyses were employed to examine the statistical relati...
متن کاملSegmentation of range images via data fusion and morphological watersheds
As in two{dimensional computer vision, segmentation is one of the most important processes in 3{D vision. The recent availability of cost{e ective range imaging devices has simpli ed the problem of obtaining 3{D information directly from a scene. Range images are characterized by two principal types of discontinuities: step edges that represent discontinuities in depth, and roof (or trough) edg...
متن کاملRange Image Segmentation Using an Oscillatory Network
We use a locally excitatory globally inhibitory oscillator network (LEGION) as a framework for range image segmentation. Each oscillator in the LEGION network has excitatory lateral connections to the oscillators in its neighborhood as well as a connection with a global inhibitor. The lateral connection between two oscillators is established based on the similarity between their feature vectors...
متن کاملTarget detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کاملSegmentation of brain MR images: a self-adaptive online vector quantization approach
We present a fully automatic algorithm for brain magnetic resonance (MR) image segmentation. The three-dimensional (3D) volumetric MR dataset is first interpolated for an adequate local intensity vector on each voxel. Then a morphology dilation filter and region growing technique are applied to extract the region of brain volume, strapping away the skull, scalp and other tissues. The principal ...
متن کامل