[[abstract]]The paper proposes a robust image alignment framework based on Fourier transform of a gradient complex image. The proposed Fourier-based algorithm can handle translation, rotation, and scaling, and it is robust against noise and non-uniform illumination. The proposed alignment algorithm is further extended to work under occlusion by partitioning the template and performing the Fourier-based alignment for all partitioned sub-templates in a voting framework. Our experiments show superior alignment results by using the proposed robust Fourier-based alignment over the previous related methods.[[fileno]]2030227030072[[department]]資訊工程學
Abstract. Gradient-descent methods have exhibited fast and reliable performance for image alignment ...
This paper presents a voting method to perform image correction by global and local intensity alignm...
Abstract—We present a robust FFT-based approach to scale-invariant image registration. Our method re...
Abstract—In this paper we propose a framework for both gradient descent image and object alignment i...
In this paper we propose a framework for both gradient descent image and object alignment in the Fou...
In this paper we propose a framework for gradient de-scent image alignment in the Fourier domain. Sp...
[[abstract]]In this paper, we present a robust image alignment algorithm based on matching of relati...
[[abstract]]In this paper, we present a robust image alignment algorithm based on matching of relati...
[[abstract]]We present an image alignment algorithm based on the matching of relative gradient maps ...
This paper presents a new edge-based technique for image alignment, combining Fourier Descriptors (F...
[[abstract]]This paper presents a Fourier descriptor based image alignment algorithm (FDBIA) for app...
A warping is a function that deforms images by mapping between image domains. The choice of function...
International audienceIn this paper we focus on extended Euclidean registration of a set of noisy im...
10.1109/CVPR.2010.5539948Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
We present a fast and robust gradient-based scale-invariant image registration technique which opera...
Abstract. Gradient-descent methods have exhibited fast and reliable performance for image alignment ...
This paper presents a voting method to perform image correction by global and local intensity alignm...
Abstract—We present a robust FFT-based approach to scale-invariant image registration. Our method re...
Abstract—In this paper we propose a framework for both gradient descent image and object alignment i...
In this paper we propose a framework for both gradient descent image and object alignment in the Fou...
In this paper we propose a framework for gradient de-scent image alignment in the Fourier domain. Sp...
[[abstract]]In this paper, we present a robust image alignment algorithm based on matching of relati...
[[abstract]]In this paper, we present a robust image alignment algorithm based on matching of relati...
[[abstract]]We present an image alignment algorithm based on the matching of relative gradient maps ...
This paper presents a new edge-based technique for image alignment, combining Fourier Descriptors (F...
[[abstract]]This paper presents a Fourier descriptor based image alignment algorithm (FDBIA) for app...
A warping is a function that deforms images by mapping between image domains. The choice of function...
International audienceIn this paper we focus on extended Euclidean registration of a set of noisy im...
10.1109/CVPR.2010.5539948Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
We present a fast and robust gradient-based scale-invariant image registration technique which opera...
Abstract. Gradient-descent methods have exhibited fast and reliable performance for image alignment ...
This paper presents a voting method to perform image correction by global and local intensity alignm...
Abstract—We present a robust FFT-based approach to scale-invariant image registration. Our method re...