A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marín-Jiménez, A Bernardino… - Pattern Recognition and …, 2007 - Springer
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
被引用次数：51 相关文章

A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX

P Moreno, MJ Marín-Jiménez, A Bernardino… - Proceedings of the 3rd …, 2007 - dl.acm.org
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] utl.pt

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - omni.isr.ist.utl.pt
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …

A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - Springer
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] ulisboa.pt

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - welcome.isr.tecnico.ulisboa.pt
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] utl.pt

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - users.isr.ist.utl.pt
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …

A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX

P Moreno, MJ Marín-Jiménez, A Bernardino… - Pattern Recognition and … - infona.pl
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] ulisboa.pt

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - vislab.isr.tecnico.ulisboa.pt
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] academia.edu

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - academia.edu
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …
[PDF] ugr.es

[PDF][PDF] A comparative study of local descriptors for object category recognition: SIFT vs HMAX

P Moreno, MJ Marın-Jiménez, A Bernardino… - ccia.ugr.es
In this paper we evaluate the performance of the two most successful state-of-the-art
descriptors, applied to the task of visual object detection and localization in images. In the …