I think you can only see the blur kernel itself if you have a point light because a point light radiates light uniformly, which matches the image of a blur kernel being a circle. For light's that aren't a point light, it there would still be blur but you wouldn't necessarily know what the kernel looks like because the geometry of the light may not be accurately shown in the image
S-Muddana
When the light source has a different geometry or distribution, such as a directional or area light, the resulting blur might not necessarily resemble a perfect circle. In such cases, the blur kernel's shape and characteristics could be influenced by the geometry of the light source and the scene's objects, leading to variations in the appearance of blur within the image. This understanding underscores the importance of considering both the properties of the light source and the scene's geometry when analyzing blur effects in images.
GarciaEricS
I thought the use of the word "kernel" was a little strange but it's actually a lot like what we covered for previous blur kernel. The kernel is just what describes how some portion of an image gets blurred, and that's exactly what we are seeing here. The image gets blurred, and we would like to figure out what exactly what blurring is, or how we go from the non-blurred image to the blurred one, just like we did for anti-aliasing.
I think you can only see the blur kernel itself if you have a point light because a point light radiates light uniformly, which matches the image of a blur kernel being a circle. For light's that aren't a point light, it there would still be blur but you wouldn't necessarily know what the kernel looks like because the geometry of the light may not be accurately shown in the image
When the light source has a different geometry or distribution, such as a directional or area light, the resulting blur might not necessarily resemble a perfect circle. In such cases, the blur kernel's shape and characteristics could be influenced by the geometry of the light source and the scene's objects, leading to variations in the appearance of blur within the image. This understanding underscores the importance of considering both the properties of the light source and the scene's geometry when analyzing blur effects in images.
I thought the use of the word "kernel" was a little strange but it's actually a lot like what we covered for previous blur kernel. The kernel is just what describes how some portion of an image gets blurred, and that's exactly what we are seeing here. The image gets blurred, and we would like to figure out what exactly what blurring is, or how we go from the non-blurred image to the blurred one, just like we did for anti-aliasing.