Three-dimensional human shape inference from silhouettes: reconstruction and validation
Silhouettes are robust image features that provide considerable evidence about the three-
dimensional (3D) shape of a human body. The information they provide is, however …
dimensional (3D) shape of a human body. The information they provide is, however …
Superpixel optimization using higher order energy
A novel superpixel extraction algorithm using a higher order energy optimization framework
is proposed in this paper. We first adopt the k-means clustering technique to quickly get an …
is proposed in this paper. We first adopt the k-means clustering technique to quickly get an …
Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans
Purpose The proposed work aims to develop an algorithm to precisely segment the lung
parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a …
parenchyma in thoracic CT scans. To achieve this goal, the proposed technique utilized a …
Digital image processing including refinement layer, search context data, or DRM
Techniques and systems are described to support digital image processing through use of
an image repository, eg, a stock image database or other storage. In one example, a …
an image repository, eg, a stock image database or other storage. In one example, a …
Multi-view video based multiple objects segmentation using graph cut and spatiotemporal projections
In this paper, we present an automatic algorithm to segment multiple objects from multi-view
video. The Initial Interested Objects (IIOs) are automatically extracted in the key view of the …
video. The Initial Interested Objects (IIOs) are automatically extracted in the key view of the …
Foot shape prediction using elliptical Fourier analysis
G Wu, D Li, P Hu, Y Zhong… - Textile Research Journal, 2018 - journals.sagepub.com
In this paper, a new method was proposed to establish the relationship between three-
dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which …
dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which …
Foreground object detection under camouflage using multiple camera-based codebooks
T Malathi, MK Bhuyan - 2013 Annual IEEE India Conference …, 2013 - ieeexplore.ieee.org
Video surveillance is used to monitor activities of people and to take necessary actions
when an abnormal activity is noticed. The initial step of video surveillance is object …
when an abnormal activity is noticed. The initial step of video surveillance is object …
Learning the scene illumination for color-based people tracking in dynamic environment
People tracking under non-uniform illumination is challenging, as observed appearance
may change as they move around in the environment. Appearance model adaptation is …
may change as they move around in the environment. Appearance model adaptation is …
On multi-view video segmentation for object-based coding
Z Zhu, Y Wang, G Jiang - Digital Signal Processing, 2012 - Elsevier
A novel scheme for multi-view segmentation and tracking is proposed aiming to acquire
perceptually consistent results for object-based coding. Firstly, a classic image segmentation …
perceptually consistent results for object-based coding. Firstly, a classic image segmentation …
Multiple camera-based codebooks for object detection under sudden illumination change
T Malathi, MK Bhuyan - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
In many computer vision applications, identification of moving objects is a critical task. It
involves classification of a pixel into either foreground or background. Background …
involves classification of a pixel into either foreground or background. Background …