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Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scenescene ..is not uploading for some reason right now.. will try to add again later.

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later.later. adding the picture again.. C:\fakepath\night.jpg

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later. adding the picture again.. C:\fakepath\night.jpgagain..

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later. adding the picture again..again..

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later. adding the picture again..

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later. adding the picture again.. again..

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original Image Night Scene

Original image of day scene

original image of night scene ..is not uploading for some reason right now.. will try to add again later. adding the picture again..

Hi!

Hope you're all doing well! I am working on a project two fuse two images (RGB + IR). I am using FLIR dataset. RGB image resolution is 1800x1600, whereas IR images are 640x512. Additionally, RGB images have slightly wider angle and has more info, so when the images go through image fusion, it produces shadowy output. I am looking to crop the images, so the details match infrared images. I came across a medium article where the author used feature matching to identify and crop parts. It works great for daylight scenes, however, it produces very wrong results when night scenes images are used. I notice the feature matching is not correct either. I have tried other methods (SURF, SIFT as well, but they don't seem to work well either, unless I am missing something? I am new to CV).

1) Do you know what could be causing this issue to occur? 2) Is there any other straight forward method I can use to crop RGB images? Because the position of rgb camera is fixed, so maybe cropping by certain factor or identifying height, width points can be used to crop the images?

Cropped Image Daylight (1) - https://imgur.com/0r6gQkX

Cropped Image Nightscene (2) - https://imgur.com/PTlFCue

Best Regards

Results Compared (night scene matching is not accurate)

Daylight Scene matches and cropped properly.

Original Image Night Scene Scene C:\fakepath\apicture.jpg

Original image of day scene