Learning and understanding dynamic scene activity: a review
H Buxton - Image and vision computing, 2003 - Elsevier
We are entering an era of more intelligent cognitive vision systems. Such systems can
analyse activity in dynamic scenes to compute conceptual descriptions from motion …
analyse activity in dynamic scenes to compute conceptual descriptions from motion …
[LIBRO][B] Computer and machine vision: theory, algorithms, practicalities
ER Davies - 2012 - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …
Machine Vision) clearly and systematically presents the basic methodology of computer and …
The pyramid match kernel: Discriminative classification with sets of image features
Discriminative learning is challenging when examples are sets of features, and the sets vary
in cardinality and lack any sort of meaningful ordering. Kernel-based classification methods …
in cardinality and lack any sort of meaningful ordering. Kernel-based classification methods …
Statistical models of appearance for medical image analysis and computer vision
Statistical models of shape and appearance are powerful tools for interpreting medical
images. We assume a training set of images in which corresponding landmark points have …
images. We assume a training set of images in which corresponding landmark points have …
[LIBRO][B] Active contours: the application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion
Active Contours deals with the analysis of moving images-a topic of growing importance
within the computer graphics industry. In particular it is concerned with understanding …
within the computer graphics industry. In particular it is concerned with understanding …
On the notion of variability in software product lines
The authors discuss the notion of variability. We have experienced that this concept has so
far been underdefined, although we have observed that variability techniques become …
far been underdefined, although we have observed that variability techniques become …
Vision based fire detection
CB Liu, N Ahuja - … of the 17th International Conference on …, 2004 - ieeexplore.ieee.org
Vision based fire detection is potentially a useful technique. With the increase in the number
of surveillance cameras being installed, a vision based fire detection capability can be …
of surveillance cameras being installed, a vision based fire detection capability can be …
Inferring 3d structure with a statistical image-based shape model
We present an image-based approach to infer 3D structure parameters using a probabilistic"
shape+ structure" model. The 3D shape of an object class is represented by sets of contours …
shape+ structure" model. The 3D shape of an object class is represented by sets of contours …
[LIBRO][B] Statistical models of shape: Optimisation and evaluation
The goal of image interpretation is to convert raw image data into me-ingful information.
Images are often interpreted manually. In medicine, for example, a radiologist looks at a …
Images are often interpreted manually. In medicine, for example, a radiologist looks at a …
[LIBRO][B] Learning shape: optimal models for analysing natural variability
RH Davies - 2002 - search.proquest.com
Statistical shape models have wide application in biomedical image analysis-both for image
segmentation and morphological analysis. This thesis addresses an important issue in …
segmentation and morphological analysis. This thesis addresses an important issue in …