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Asymmetric gradient-based image alignment

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
A new method for template-based image alignment is presented in this paper. A gradient-based optimization of motion compensated error difference is addressed to solve the image alignment problem. Its novelty lies in the minimized error, which considers the bi-directional compensation of the reference template and the current image onto each other in a ...
Jean-Baptiste Autheserre   +2 more
openaire   +1 more source

HCNet: Hierarchical Feature Aggregation and Cross-Modal Feature Alignment for Remote Sensing Image Captioning

IEEE Transactions on Geoscience and Remote Sensing
Remote sensing image captioning (RSIC) aims to describe the crucial objects from remote sensing images in the form of natural language. The inefficient utilization of object texture and semantic features in images, along with the ineffective cross-modal ...
Zhigang Yang   +3 more
semanticscholar   +1 more source

Online Robust Image Alignment via Subspace Learning from Gradient Orientations

IEEE International Conference on Computer Vision, 2017
Robust and efficient image alignment remains a challenging task, due to the massiveness of images, great illumination variations between images, partial occlusion and corruption.
Qingqing Zheng, Yi Wang, P. Heng
semanticscholar   +1 more source

Aligning Islamic Spirituality to Medical Imaging

Journal of Religion and Health, 2015
This paper attempts to conceptualize Islamic spirituality in medical imaging that deals with the humanistic and technical dimensions. It begins with establishing an understanding concerning spirituality, an area that now accepted as part of patient-centred care.
openaire   +2 more sources

Efficient alignment of fingerprint images

Object recognition supported by user interaction for service robots, 2003
Fingerprint matching is a common technique for biometric authentication. Solid state sensors for fingerprint recognition are used in small sized embedded systems. The size of these sensors makes it necessary to store several impressions of the same finger.
H. Ramoser, B. Wachmann, H. Bischof
openaire   +1 more source

Aligning images with multiple objectives

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
Most high level interpretation tasks in image analysis rely on image registration (alignment) process. Basically, image registration consists in finding the geometric transformation that best aligns two or several images. In this paper, we focus on mono-modality image alignment. The core task to do in this case is to put into correspondence two sets of
S. Meshoul, M. Batouche
openaire   +1 more source

Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence Minimization

AAAI Conference on Artificial Intelligence
Direct Preference Optimization (DPO) has recently expanded its successful application from aligning large language models (LLMs) to aligning text-to-image models with human preferences, which has generated considerable interest within the community ...
Haoyuan Sun   +3 more
semanticscholar   +1 more source

An image alignment method

2020
The invention discloses a method for determining alignment an/or twisting the upper and/or lower part of a patient´s chest in medical imagerelative to coronalplane of a patient, comprising medical imaging equipment for obtaining a chest x-ray of the patient, imaging analysis software, obtaining a plurality of distance between a midline on an imaging of
Blankholm, Anne Dorte   +1 more
openaire   +1 more source

Radiometric alignment of image sequences

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter speed, image intensity of a same object may vary during the acquisition of an image sequence due to auto exposure feature of the camera.
null Seon Joo Kim, M. Pollefeys
openaire   +1 more source

Robust multi-sensor image alignment

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002
This paper presents a method for alignment of images acquired by sensors of different modalities (e.g., EO and IR). The paper has two main contributions: (i) It identifies an appropriate image representation, for multi-sensor alignment, i.e., a representation which emphasizes the common information between the two multi-sensor images, suppresses the ...
M. Irani, P. Anandan
openaire   +1 more source

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