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A survey of methods for recovering quadrics in triangle meshes
In a variety of practical situations such as reverse engineering of boundary representation
from depth maps of scanned objects, range data analysis, model-based recognition and …
from depth maps of scanned objects, range data analysis, model-based recognition and …
[PDF][PDF] Segmentation of LiDAR point clouds for building extraction
The objective of segmentation on point clouds is to spatially group points with similar
properties into homogeneous regions. Segmentation is a fundamental issue in processing …
properties into homogeneous regions. Segmentation is a fundamental issue in processing …
[کتاب][B] Dictionary of computer vision and image processing
RB Fisher, TP Breckon, K Dawson-Howe, A Fitzgibbon… - 2013 - books.google.com
Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …
Processing is a comprehensive and reliable resource which now provides explanations of …
3-D model construction using range and image data
This paper deals with the automated creation of geometric and photometric correct 3-D
models of the world. Those models can be used for virtual reality, tele-presence, digital …
models of the world. Those models can be used for virtual reality, tele-presence, digital …
Architectural modeling from sparsely scanned range data
We present a pipeline to reconstruct complete geometry of architectural buildings from point
clouds obtained by sparse range laser scanning. Due to limited accessibility of outdoor …
clouds obtained by sparse range laser scanning. Due to limited accessibility of outdoor …
Fast range image segmentation by an edge detection strategy
This paper presents an edge-based segmentation technique that allows to process quickly
very large range images. The proposed technique consists of two stages. First, a binary …
very large range images. The proposed technique consists of two stages. First, a binary …
3d object detection and localization using multimodal point pair features
Object detection and localization is a crucial step for inspection and manipulation tasks in
robotic and industrial applications. We present an object detection and localization scheme …
robotic and industrial applications. We present an object detection and localization scheme …
New improvements to range image segmentation by edge detection
This article presents new improvements to range image segmentation based on edge
detection techniques. The developed approach better preserves the object's topology and …
detection techniques. The developed approach better preserves the object's topology and …
Fuzzy logic based edge detection in smooth and noisy clinical images
Edge detection has beneficial applications in the fields such as machine vision, pattern
recognition and biomedical imaging etc. Edge detection highlights high frequency …
recognition and biomedical imaging etc. Edge detection highlights high frequency …
[PDF][PDF] Image Segmentation Using Contemporary Fuzzy Logic
DEN Ganesh - International Journal of Computer Science & …, 2017 - ijcset.com
Digital Image Processing is a versatile cost effective method utilized in many areas with
various technologies. In this paper a novel method for an application of digital image …
various technologies. In this paper a novel method for an application of digital image …