A review and an approach for object detection in images
KU Sharma, NV Thakur - International Journal of …, 2017 - inderscienceonline.com
An object detection system finds objects of the real world present either in a digital image or
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
a video, where the object can belong to any class of objects namely humans, cars, etc. In …
Fruit detection in natural environment using partial shape matching and probabilistic Hough transform
G Lin, Y Tang, X Zou, J Cheng, J Xiong - Precision Agriculture, 2020 - Springer
This paper proposes a novel technique for fruit detection in natural environments which is
applicable in automatic harvesting robots, yield estimation systems and quality monitoring …
applicable in automatic harvesting robots, yield estimation systems and quality monitoring …
Segmentation and characterization of macerated fibers and vessels using deep learning
Purpose Wood comprises different cell types, such as fibers, tracheids and vessels, defining
its properties. Studying cells' shape, size, and arrangement in microscopy images is crucial …
its properties. Studying cells' shape, size, and arrangement in microscopy images is crucial …
Discriminatively trained and-or graph models for object shape detection
In this paper, we investigate a novel reconfigurable part-based model, namely And-Or graph
model, to recognize object shapes in images. Our proposed model consists of four layers …
model, to recognize object shapes in images. Our proposed model consists of four layers …
An efficient VLSI architecture for lifting-based discrete wavelet transform
W Zhang, Z Jiang, Z Gao, Y Liu - IEEE Transactions on Circuits …, 2012 - ieeexplore.ieee.org
A high-speed and reduced-area 2-D discrete wavelet transform (2-D DWT) architecture is
proposed. Previous DWT architectures are mostly based on the modified lifting scheme or …
proposed. Previous DWT architectures are mostly based on the modified lifting scheme or …
Shape-based object detection via boundary structure segmentation
We address the problem of object detection and segmentation using global holistic
properties of object shape. Global shape representations are highly susceptible to clutter …
properties of object shape. Global shape representations are highly susceptible to clutter …
From partial shape matching through local deformation to robust global shape similarity for object detection
T Ma, LJ Latecki - CVPR 2011, 2011 - ieeexplore.ieee.org
In this paper, we propose a novel framework for contour based object detection. Compared
to previous work, our contribution is three-fold. 1) A novel shape matching scheme suitable …
to previous work, our contribution is three-fold. 1) A novel shape matching scheme suitable …
Object detection via boundary structure segmentation
We address the problem of object detection and segmentation using holistic properties of
object shape. Global shape representations are highly susceptible to clutter inevitably …
object shape. Global shape representations are highly susceptible to clutter inevitably …
Many-to-one contour matching for describing and discriminating object shape
P Srinivasan, Q Zhu, J Shi - 2010 IEEE Computer Society …, 2010 - ieeexplore.ieee.org
We present an object recognition system that locates an object, identifies its parts, and
segments out its contours. A key distinction of our approach is that we use long, salient …
segments out its contours. A key distinction of our approach is that we use long, salient …
Using partial edge contour matches for efficient object category localization
We propose a method for object category localization by partially matching edge contours to
a single shape prototype of the category. Previous work in this area either relies on …
a single shape prototype of the category. Previous work in this area either relies on …