Past, present, and future of simultaneous localization and map**: Toward the robust-perception age
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
Automatic analysis of facial affect: A survey of registration, representation, and recognition
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
Learning multiscale active facial patches for expression analysis
In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …
common and specific information among different expressions. Inspired by the observation …
Multi-instance deep learning: Discover discriminative local anatomies for bodypart recognition
In general image recognition problems, discriminative information often lies in local image
patches. For example, most human identity information exists in the image patches …
patches. For example, most human identity information exists in the image patches …
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
Segmentation of infant brain MR images is challenging due to insufficient image quality,
severe partial volume effect, and ongoing maturation and myelination processes. In the first …
severe partial volume effect, and ongoing maturation and myelination processes. In the first …
Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities?
Our primary motivator is the need for screening HIV+ populations in resource-constrained
regions for exposure to Tuberculosis, using posteroanterior chest radiographs (CXRs). The …
regions for exposure to Tuberculosis, using posteroanterior chest radiographs (CXRs). The …
Saliency-based lesion segmentation via background detection in dermoscopic images
The segmentation of skin lesions in dermoscopic images is a fundamental step in automated
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …
Representation learning: a unified deep learning framework for automatic prostate MR segmentation
Image representation plays an important role in medical image analysis. The key to the
success of different medical image analysis algorithms is heavily dependent on how we …
success of different medical image analysis algorithms is heavily dependent on how we …
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform
Compressed sensing magnetic resonance imaging has shown great capacity for
accelerating magnetic resonance imaging if an image can be sparsely represented. How the …
accelerating magnetic resonance imaging if an image can be sparsely represented. How the …
A review of motion analysis methods for human nonverbal communication computing
Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …
nonverbal aspects of their communication to coordinate their activities and social …