Machine Vision and Applications
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Road obstacles positional and dynamic features extraction combining object detection, stereo disparity maps and optical flow data
Machine Vision and Applications - Tập 31 - Trang 1-11 - 2020
One of the most relevant tasks in an intelligent vehicle navigation system is
the detection of obstacles. It is important that a visual perception system for
navigation purposes identifies obstacles, and it is also important that this
system can extract essential information that may influence the vehicle’s
behavior, whether it will be generating an alert for a human driver or guide an
autonomous ...
A high-quality 3D multiview model-building technique based on CAD
Machine Vision and Applications - Tập 7 - Trang 209-216 - 1994
In this paper, we propose a method for building a high-quality 3D model
efficiently from a CAD model. We automatically build the high-quality 3D model
of an object by accurately extracting the 3D multiview features from the CAD
model with the object-precision method instead of the existing image-precision
method. Precision of the features from the image-precision method is limited to
the precision...
Integrating perceptual level of detail with head-pose estimation and its uncertainty
Machine Vision and Applications - Tập 21 - Trang 69-83 - 2008
Immersive virtual environments with life-like interaction capabilities can
provide a high fidelity view of the virtual world and seamless interaction
methods to the user. High demanding requirements, however, raise many challenges
in the development of sensing technologies and display systems. The focus of
this study is on improving the performance of human–computer interaction by
rendering optimi...
Real-time one-dimensional motion estimation and its application in computer vision
Machine Vision and Applications - Tập 26 - Trang 633-648 - 2015
Traditional optical flow methods are designed to generate two-dimensional (2D)
motion fields. However in some applications, only the motion field along a
predefined line is needed, while the rest of the redundant 2D region (Cong et
al., CVPR, 2009) can be ignored. In this paper, we propose a general framework
for estimating one-dimensional (1D) motion field using the $$L_1$$ norm metric,
which can...
A robust eye gaze tracking method based on a virtual eyeball model
Machine Vision and Applications - Tập 20 - Trang 319-337 - 2008
Gaze positions can provide important cues for natural computer interfaces. In
this paper, we describe a new gaze estimation method based on a three
dimensional analysis of the human eye which can be used in head-mounted display
(HMD) environments. This paper presents four advantages over previous works.
First, in order to obtain accurate gaze positions, we used a virtual eyeball
model based on the...
Extended sparse representation-based classification method for face recognition
Machine Vision and Applications - Tập 29 - Trang 991-1007 - 2018
In sparse representation algorithms, a test sample can be sufficiently
represented by exploiting only the training samples from the same class.
However, due to variations of facial expressions, illuminations and poses, the
other classes also have different degrees of influence on the linear
representation of the test sample. Therefore, in order to represent a test
sample more accurately, we propos...
Automatic optical flank wear measurement of microdrills using level set for cutting plane segmentation
Machine Vision and Applications - Tập 21 - Trang 667-676 - 2010
We address the problem of automatic optical flank wear measurement for
microdrill bits’ inspection. Cutting plane segmentation of microdrill bits is a
fundamental step in the measurement. However, in the case of smeared microdrill
bits, cutting planes cannot be segmented correctly by conventional methods. To
exactly extract the cutting plane, a level set technique is proposed to segment
it from a ...
Distortion diminishing with vulnerability filters pruning
Machine Vision and Applications - Tập 34 - Trang 1-20 - 2023
Overparameterization of convolutional neural networks allows model compression,
and model pruning algorithms have attracted much interest due to their practical
acceleration effects. The pruning algorithm should remove as many redundant
structures as possible while maintaining the original accuracy to maximize the
acceleration effect. However, prior works utilize benign samples to evaluate the
los...
Graph-based particular object discovery
Machine Vision and Applications - Tập 30 - Trang 243-254 - 2019
Severe background clutter is challenging in many computer vision tasks,
including large-scale image retrieval. Global descriptors, which are popular due
to their memory and search efficiency, are especially prone to corruption by
such a clutter. Eliminating the impact of the clutter on the image descriptor
increases the chance of retrieving relevant images and prevents topic drift due
to actually ...
Realistic human action recognition by Fast HOG3D and self-organization feature map
Machine Vision and Applications - Tập 25 - Trang 1793-1812 - 2014
Nowadays, local features are very popular in vision-based human action
recognition, especially in “wild” or unconstrained videos. This paper proposes a
novel framework that combines Fast HOG3D and self-organization feature map (SOM)
network for action recognition from unconstrained videos, bypassing the
demanding preprocessing such as human detection, tracking or contour extraction.
The contributi...
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