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Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i came across of things like this. What do you think about it? What is behind this kind of results?

I invite anyone invested in this issue to the discussion.

Regards

Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i came come across of things like this. What do you think about it? What is behind this kind of results?

I invite anyone invested in this issue to the discussion.

Regards

Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i come across of things like this. What do you think about it? What is behind this kind of results?

I invite anyone invested in this issue to the discussion.

EDIT: To bring in some input regarding your question, there are some good curvature features, such as the Histogram of Oriented Gradient, which gives a measure of the strenght of the edges of an image affected by their orientation

Regards

Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i come across of things like this. What do you think about it? What is behind this these kind of results?

I invite anyone invested in this issue to the discussion.

EDIT: To bring in some input regarding your question, there are some good curvature features, such as the Histogram of Oriented Gradient, which gives a measure of the strenght of the edges of an image affected by their orientation

Regards

Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i come across of things like this. What do you think about it? What is behind these kind of results?

I invite anyone invested in this issue to the discussion.

EDIT: To bring in some input regarding your question, there are some good curvature features, such as the Histogram of Oriented Gradient, which gives a measure of the strenght of the edges of an image affected by their its orientation

Regards

Good question. I don't have any answers for you, and I'm just putting this comment as an answer to bump this question up and give it atention, please do not delete it.

I've been investigating stereo vision myself as I need to see its potential. I've tried the opencv's algorithms but they are really slow (3 - 4 fps) and the accuracy is really far from what I need for the kind of applications I build. I've also been searching for a discussion forum about this technology, so far with no luck.

Since you seem much more into stereo vision then me, can you answer me a question? Are there any stereo vision algorithms that work at 30 fps with an accurate output? Or is the technology just not there yet? Most videos I find on youtube on stereo are pretty poor, but sometimes i come across of things like this. What do you think about it? What is behind these kind of results?

I invite anyone invested in this issue to the discussion.

EDIT: To bring in some input regarding your question, there are some good curvature features, such as the Histogram of Oriented Gradient, which gives a measure of the strenght of the edges of an image affected by its orientation

Regards